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Как мы создавали новый LLM-переводчик Яндекса

Привет, Хабр! Меня зовут Николай Карпачёв, я руковожу группой базового качества перевода в Яндексе. Недавно мы впервые разработали модель документного перевода на основе YandexGPT и, используя различные оптимизации, уже применяем её в Поиске, Умной камере, а также в нейропереводчике Яндекс Браузера. Кроме того, мы протестировали новую модель на независимом международном бенчмарке DiBiMT, где заняли первое место по качеству англо-русского перевода.

В этой статье я расскажу:

почему нужно делать перевод именно с контекстом, на уровне документов, а не отдельных предложений;
как в этой задаче помогают LLM;
чего не хватает базовой general-purpose LLM для хорошего перевода;
как адаптировать большую языковую модель под задачу, когда размеченных данных мало.

Как эволюционировал машинный перевод

Машинный перевод — одна из наиболее известных и классических задач в компьютерной лингвистике. Первые коммерческие системы появились уже в 1990-х годах, а начиная с середины 2000-х, движки real-time-перевода стали доступны уже для всех пользователей интернета.

С точки зрения используемых алгоритмов задача перевода также очень интересна. Исторически для популярных языковых направлений было доступно гораздо больше данных, чем для других генеративных задач NLP (например, суммаризации или question-answering). По этой причине многие современные алгоритмы впервые успешно заработали именно в задаче перевода.

Например, в 2014 году в статье Sequence to Sequence Learning with neural networks было описано, как обучить в режиме end-to-end модель генерации текстов на основе рекуррентной нейронной сети. Чуть позже для обработки длинных последовательностей хорошо заработал механизм внимания (Bahdanau et.al., 2014). А в 2017 году исследователи из Google предложили модель трансформера, которая заменяет последовательное обновление скрытого состояния из RNN на параллелизуемый механизм self-attention. Он позволил моделировать более сложные зависимости с гораздо большим расстоянием связей.

Вместе с тем после внедрения и улучшений трансформерных моделей качество алгоритмов перевода стало достаточно высоким. Для не очень длинных текстов общей тематики (general domain) автоматические переводчики стали допускать уже крайне мало ошибок. На практике это означало, что для некритичных сценариев можно было переводить предложения через машинные системы с минимальной постредактурой.

А в 2022 году появилась модель ChatGPT, которая с ходу практически идеально решила много сложных задач NLP без какого-либо дообучения или инжиниринга архитектуры. На первый взгляд, такой задачей должен был стать и перевод: ведь он и ранее хорошо работал, и на уровне простых промптов модель выдавала в целом близкие к желаемым ответы. Казалось бы, стоит немного аккуратнее подобрать подводку либо сделать простое дообучение под задачу — и всё, задача перевода решена.

На деле всё оказалось не так просто. Каждый год на международной конференции по переводу WMT в рамках трека-соревнования по базовому качеству перевода (WMT general translation task) сравниваются лучшие продакшен-системы, LLM и посылки участников трека. Среди сравниваемых систем также есть и «референсы» — переводы, сделанные профессиональными специалистами. Такой перевод, строго говоря, содержит некоторое количество ошибок и неточностей (в том числе смысловых), и полноценным идеалом его считать нельзя. Хотя существует ли идеальный во всех компонентах перевод — вопрос открытый, ведь часть текстов очень тесно переплетены с культурными особенностями и не имеют иноязычных аналогов.

Так или иначе, сравнение с «человеческими» референсами — это понятная и достаточно адекватная метрика итогового решения задачи.

В 2023 году LLM впервые поучаствовали в соревновании, и результаты GPT были хуже (но при этом очень хорошие для непереводной модели), чем у encoder-decoder-моделей, созданных для перевода.

Источник: Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet (результаты WMT 2023)

В целом, конечно, результаты сильно зависят от языкового направления. Для перевода на английский качество англоцентричной GPT-4 гораздо ближе к человеческому, но для генерации на других языках LLM не хватает адаптированности.

В 2024 году LLM стали умнее, и многие ожидали, что уж теперь бейзлайн человеческого качества будет достигнут. Но, по результатам свежего WMT (ноябрь 2024 года), переводы человека остались статистически значимо лучше ML-систем в 7 из 11 представленных языковых направлений. И это если не учитывать тот факт, что сами «человеческие» переводы на WMT не являются безупречными.

Качество по метрике MQM по разным доменам. В крайнем правом столбце положение переводов человека в лидерборде. Источник: Findings of WMT24

Таким образом, можно сделать вывод, что на сегодняшний день LLM хоть и умеют работать «из коробки» в режиме минимального дообучения, но без специфичного тюнинга под перевод пока не обойтись — есть ошибки. Близкие к человеку результаты показывают только лучшие foundation-модели от команд вроде OpenAI или Anthropic. Типичный размер флагманских моделей — сотни миллиардов параметров. В любой продакшен-среде инференс таких моделей крайне тяжелый и требует очень много вычислительных ресурсов.

Получается, если мы хотим иметь доступ к быстрому и доступному пользовательскому переводу хорошего качества, нам нужно делать отдельные модели для перевода. И сейчас я расскажу про наш опыт в построении таких моделей.

Документный перевод

Если вы проходили курсы по машинному обучению и обработке текстов, то наверняка сталкивались с лабораторными работами или проектами по теме перевода. И, скорее всего, видели, какие данные обычно используются для обучения и оценки качества моделей — предложения.

Обучающий датасет для переводчика — это классическая supervised-выборка пар src — reference, где src — это предложение на исходном языке, а reference — интересующий нас его перевод.

Почему именно предложения? Ответ прост, и он не связан с тем, по какой причине лучше делать переводы отдельных предложений.

Во-первых, исторически сложилось, что данные переводов собираются из нескольких источников: от профессиональных переводчиков и локализаторов, с помощью автоматических алгоритмов из интернета или заранее отобранных comparable corpora, а также аугментациями (подробно о техниках сбора параллельных данных мы недавно рассказывали в статье).

Гораздо больше таких данных можно получить, если искать параллельные предложения, а не полные документы. Предложения переводятся чаще, а их переводы обычно «выровнены» — меньше перестановок блоков и добавления какой-либо дополнительной информации (она, очевидно, вредит моделям и добавляет дополнительный шум в обучающую выборку).

Кроме того, из одного и того же датасета документов можно получить значительно больше обучающих сэмплов предложений, чем сэмплов параграфов или бо́льших фрагментов. Если суммарно данных не так много, то обучение на предложениях — единственный вариант.

Во-вторых, более ранние алгоритмы перевода плохо обобщались на документы. Сейчас, в 2025 году, мы знаем, что трансформерные модели неплохо работают с контекстом даже в несколько тысяч токенов, а ещё 10 лет назад такое было сложно представить. Поэтому в тот момент пользы от хороших датасетов документов было бы не очень много, ведь модели всё равно слабо держали контекст. А без умения работать с контекстом какой смысл в документном корпусе?

Но на практике нас слабо интересует перевод отдельных предложений: обычно мы воспринимаем информацию более крупными, законченными блоками. Собственно, и в случае переводов мы также смотрим фильм, читаем книгу или просматриваем веб-страницу целиком.

Модели на уровне предложений хоть и неплохо переводят в изоляции, однако плохо понимают контекст. Ниже — примеры типичных проблем sentence-level-перевода из статьи When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. В них представлены типичные ошибки контекстной согласованности при переводе по предложениям.

Неоднозначность при переводе указания (deixis). Значение указательных фраз или местоимений часто зависят от контекста, в котором они употребляются. Например, англоязычное you может переводиться в «ты» или «вы» в зависимости от выбранного тона формальности. Аналогично род в английском языке подразумевается из контекста, а в русском явно выражен в словоформе.

Эллипсис. Эллипсисом называют пропуск в тексте элемента предложения, который восстанавливается из контекста. Но не всегда эллиптические конструкции исходного языка текста присутствуют в языке перевода. В таком случае независимый перевод по предложениям приведёт к искажению смысла.

Лексическая когезия. Когезия — способ связывать между собой предложения внутри текста, а лексическая когезия делает это с помощью повторений или других референтных выражений между словами.

При независимом переводе блоков, в которых содержится лексическая когезия, перевод ключевых слов может получиться неконсистентным. В таком случае связность текста теряется, что также затрудняет восприятие смысла.

Понятно, что подобного рода ошибки — фундаментальное ограничение переводчика по предложениям. Даже идеальный перевод отдельных фраз будет подвержен таким проблемам согласования.

И также понятно, что цель нашего продукта — качественный перевод произвольных текстов, будь то статья из Википедии, субтитры к фильму или комментарий футбольного матча.

Поэтому в какой-то момент мы приняли решение больше не развивать модели перевода отдельных предложений, а сосредоточиться на решении более актуальной (и технически сложной) задачи контекстного перевода.

LLM-based-перевод

Итак, мы пришли к тому, что модели перевода по предложениям надо заменять на документные. Каким же образом можно получить такие модели?

На старте есть несколько ограничений:

Очень мало качественных doc-level-переводов для обучения.
Нужна модель, способная поддерживать в памяти и учитывать длинный контекст документа и начальной части перевода.
Отдельно важна гладкость (fluency) генерации текста.

С учётом таких вводных факторов стандартное обучение seq2seq-трансформерной модели с нуля, как было принято для sentence-to-sentence-переводчика, нереализуемо. Из-за нехватки документных данных SFT без претрейна будет работать плохо, а гладкость переводов внутри параллельных корпусов оставляет желать лучшего (там много машинных переводов и других синтетически сгенерированных данных).

Естественная идея — использовать LLM. И вот почему:

На достаточно больших размерах модели базовый претрейн уже неплохо справляется с широким спектром задач без in-domain-данных.
Так как LLM сначала учится просто «моделировать текст» и проходит гигантский объём данных на языке перевода (в нашем случае — русском), её генерации также получаются очень гладкими и более вариативными, чем у моделей, которые видели только параллельные корпусы перевода.
Типичный контекст больших языковых моделей — несколько тысяч токенов. Этого с запасом хватит, чтобы держать в памяти модели почти всю нужную информацию для перевода. Понятно, что есть исключения вроде точечных фактов, которые вводятся в начале повествования книги, но, как правило, критичный для перевода контекст находится в некоторой локальной окрестности параграфа.

Для изначальных экспериментов мы взяли несколько версий внутренней модели YandexGPT decoder-only и попробовали две стандартных стратегии адаптации LLM под задачу.

Prompting

Мы попробовали применить обычный промптинг под перевод, никак не дообучая модель. В итоге мы пришли к таким наблюдениям.

Иногда LLM выдаёт крайне хорошие переводы: с богатым русским языком и перефразировкой, сохраняющей смысл.

При этом часто встречаются грубые ошибки, которых никогда не допустил бы человек или отдельный переводной трансформер. Например, потери больших блоков текста в переводе (undertranslation) или, наоборот, «придумывание» текста от себя в отрыве от source-предложения (overtranslation).

Другими словами, предобученная LLM гораздо лучше умеет строить предложения и знает какие-то факты, которые сложно найти в корпусах перевода. Но при этом она явно недообучена под задачу, поэтому у неё возникают большие сложности с полным сохранением смысла без переписывания.

К подобным выводам пришли и исследователи из Google, применив их внутреннюю LLM PaLM к задаче перевода. В статье Prompting PaLM for Translation: Assessing Strategies and Performance перевод с помощью prompt-engineering модели PaLM сравнивался с переводом актуальной модели Google Переводчика. Авторы пришли к выводу, что LLM совершает меньше стилистических и грамматических ошибок, а также нарушений согласованности, но генерирует гораздо больше переводов с пропуском информации и галлюцинаций.

Сравнение типов ошибок среди переводов двух систем компании Google: LLM без дообучения (PaLM) и Transformer (SOTA). Omission — ошибки, связанные с пропуском части информации и искажением смысла, Awkward — ошибки стиля, неестественные и плохо согласованные переводы. Источник: Prompting PaLM for Translation: Assessing Strategies and Performance

Переводы неадаптированных LLM более естественные и гладкие, при этом больше искажают смысл. Поэтому, если мы хотим применять LLM на практике, нужно адаптировать базовую модель конкретно под задачу перевода и увеличить точность сохранения смысла.

Fine-tuning модели

Второй классический способ адаптации модели к downstream-задаче — дообучение весов. Здесь нам уже потребуется обучающая выборка, как и в классическом обучении с учителем.

Откуда же взять обучающую выборку для документного перевода? Напомню, подавляющее большинство переводных данных — это параллельные предложения. А для решения задачи в идеале нужны параллельные фрагменты с распределением длин от предложений до очень длинных текстов.

Такого рода данные за разумный срок получить невозможно. Поэтому в качестве первого шага перехода к переводчику документов мы решили свести задачу к переводу параграфов или цепочки параграфов (примерно до тысячи токенов). С одной стороны, такая постановка задачи проще для оценки качества, сбора данных и моделирования. С другой стороны, в блоках такого размера уже содержится бо́льшая доля релевантной контекстной информации, нужной для разрешения проблем, которые мы обсуждали выше.

Какие есть варианты дообучения модели под перевод параграфов:

Данные предложений. Самой простой опцией будет взять классические обучающие данные sentence-wise-моделей и рассчитывать, что модель достанет семантический маппинг из предложений, а контекстная согласованность прорастёт автоматически из задачи LM-претрейна.

Document-level back translation. Можно получить псевдопараллельные документные данные, используя массив документов на целевом языке и обратную модель sentence-level-перевода. Действуем по аналогии с обычной аугментацией back translation: берём модель перевода с русского на английский и русский документ, переводим предложения по очереди и получаем синтетический «новый source».

Такая аугментация хоть и будет содержать ошибки неконсистентности, но за счёт высокой гладкости и связности псевдоперевода (оригинального русскоязычного документа) использование подобных данных научит модель употреблять более консистентную лексику, имена, формат единиц измерения при генерации перевода всего блока.

Multi-sentence resampling (MSR). В статье Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation был предложен другой способ генерации псевдодокументных переводных данных. Простыми словами: имея корпус предложений и их переводов, конкатенируем случайные предложения и соответствующие референсы в блоки и считаем их новыми документами.

Недостаток подхода понятен: в полученном корпусе, в отличие от бэктранса, будет низкая контекстная согласованность (даже отрицательная, так как модель будет привыкать к не связанным между собой подряд идущим предложениям). Однако обучение на таких псевдодокументах делает модель устойчивой к большим длинам на входе и сильно уменьшает число галлюцинаций.

Автоматически собранные переводы параграфов. Проблемы синтетических данных понятны. Возникает логичный вопрос: почему бы не использовать аналогичные предложениям автоматические процедуры поиска и выравнивания?

Используя различные схемы алайнеров, мы получили несколько массивов параграфных переводов. Основная проблема таких выровненных данных в том, что парагафы (или более крупные главы) редко переводятся близко к тексту. В переводах книг часто допускаются перефразировки, изменения порядка повествования и художественная адаптация от авторов перевода.

Таким образом, используя разные типы источников параграфных данных, мы получили supervised-корпус для обучения.

Как же реализовать дообучение LLM технически? Самый простой способ — дообучение всех параметров модели (Full Fine-tuning). У такого варианта есть понятные проблемы, связанные с высокими вычислительными затратами на оптимизацию, но с точки зрения математической задачи FF — наиболее мощный инструмент.

Что же видим на практике?

Full Fine-tune LLM на данных предложений даёт результаты, крайне близкие к обучению на предложениях с нуля.
Full Fine-tune на данных документов сделал модель намного устойчивей к длинным параграфам, однако по качеству заметны большие проблемы.

Суммарное качество обоих вариантов почти не превышало обучение маленького трансформера с нуля. С одной стороны, это странный результат: неужели вся информация, полученная моделью на этапе претрейна, оказалась бесполезна для документного перевода? С другой стороны, если рассмотреть процедуру дообучения с технической точки зрения, на этапе supervised fine-tune происходит минимизация некоторого расстояния между вероятностным распределением модели и эмпирическим распределением обучающей выборки.

В случае Full Fine-tune мы оптимизируем все параметры языковой модели, соответственно, разница между обучением с нуля и использованием LLM pretrain состоит исключительно в начальном приближении. И если мы делаем оптимизацию достаточно агрессивно, то эффект от начальной точки гораздо меньше эффекта датасета.

Наши датасеты, как предложенческий, так и документный, не очень высокого качества. Поэтому модель, обученная в режиме FF, начинает «перенимать» проблемы обучающей выборки и в каком-то смысле переобучаться под её проблемы.

Как быть с таким tradeoff недоадаптации и переобучения под датасет?

Понятно, что схема выше — небинарная. Есть разные варианты PEFT / Sparse Fine-tuning, которые ограничивают «степень свободы» модели путём задания маски на оптимизируемые веса, ранга обучаемой добавки или конкретной группы изменяемых параметров (начальные или конечные слои).

Исходя из такого рассуждения, возникает идея: что если селективное и более ограниченное дообучение не сможет переоптимизироваться под проблемы и баги датасета, но при этом приучит модель к формату задачи перевода?

На практике так и получилось: мы попробовали разные варианты PEFT и пришли к тому, что дообучение в формате P-Tuning или LoRA даёт заметно лучшее качество, чем prompt engineering и full fine-tune.

Learning from Human Feedback

Итак, разобравшись с Supervised Fine-tuning (SFT), можно получить модель, которая неплохо переводит фрагменты длиннее предложений. Но насколько хорошо его качество «по абсолютной шкале», в сравнении с человеком?

На практике у SFT есть много проблем.

Первая проблема — гладкость и связность перевода, иначе именуемая как fluency. Так как датасеты для SFT собраны с помощью различных эвристик и пайплайнов матчинга, качество самих текстов не очень высокое. По сравнению, скажем, с книгой или хорошо написанной статьёй, переводы из параллельных текстов представляют собой так называемый translationese — текст, который содержит несогласованность или странный выбор лексики, неестественный для русского языка. Обучая модели на таких текстах, мы никогда не получим модель, свободную от таких ошибок.

Как же решать проблему с гладкостью? Собрать ещё один supervised-корпус переводов — вариант нереализуемый: это долго, дорого и нужны переводчики с высоким уровнем компетенции. Нам же хотелось получить маленький корпус, желательно собранный автоматически, для целенаправленного улучшения гладкости и связности переводов.

Для решения этой задачи мы решили использовать синтетические данные исправлений гладкости. Процедуру, описанную ниже, мы называем fluency repair.

Мы заметили, что хоть базовая general-purpose LM не очень хорошо решает задачу перевода, она прекрасно генерирует связные и лексически богатые тексты. А точные переводы неплохо генерирует наша переводная модель.

А что, если использовать general-purpose LLM как перефразировщик, а базовую модель перевода — как генератор начальных гипотез? Тогда в идеале среди перефразировок мы получим точные (или с минимальным искажением) переводы, которые хороши в гладкости и естественности.

Кроме того, как наверняка многие из вас заметили, полученная выборка fluency repair содержит больше информации, чем обычная выборка для SFT, — в ней есть примеры исправлений. Такие исправления прекрасны тем, что можно делать обучение на триплетах (src, good, bad), а не только на парах (src, good). Мы можем явно показывать модели примеры не очень хороших по гладкости переводов и примеры исправлений, а также одновременно оптимизировать вероятность исправления и дебустить вероятности плохого ответа.

Подобная схема используется в различных вариациях обучения Learning from Human Feedback, также известного как LLM Alignment.

Классическая схема такого алайнмента представляет собой сравнение ответов модели с помощью оценок человека и обучение на парах/множествах отранжированных ответов. Технически подобное обучение, как правило, реализуется с помощью обучения модели награды (reward model) и последующей RL-оптимизации (PPO и прочих), либо полностью off-policy-обучением в режиме contrastive learning. В таком случае в качестве обучающих сэмплов берут напрямую оценки и ранжирования людей.

В нашем случае подход fluency repair синтетический и заточен на улучшение одной компоненты перевода — гладкости. Как же учесть и другие свойства?

Помимо fluency repair, мы используем и классическую процедуру сбора данных для alignment — сравнение различных переводов с помощью асессоров-переводчиков.

Такие данные гораздо более разреженные: среди пар переводов есть и близкие друг к другу, и радикально отличающиеся по качеству, и неоднозначные для сравнения. То есть такой способ сбора данных позволяет собрать много разных данных «в ширину», а fluency repair — для улучшения конкретного свойства переводов. Мы используем оба варианта сбора данных и некоторый набор фильтрации шумных сэмплов разметки и ошибок в синтетике.

LLM Alignment под документы

Наконец, давайте соберём данные асессорской и автоматической разметок пар переводов и техническую реализацию alignment в единый пайплайн дообучения LLM под перевод.

Напомню, верхнеуровнево мы используем стандартную схему дообучения:

Бо́льшая часть наших датасетов — это off-policy-генерации разной природы (данные под исправление ошибок fluency + данные неструктурированных сравнений). Поэтому для прямого использования и более точной балансировки таких данных мы используем off-policy-методы и обучение напрямую на данных триплетов.

Сейчас state-of-the-art-подходом для off-policy-обучения на триплетах является вариант contrastive learning DPO (Direct Preference Optimization).

Напомню, DPO представляет собой оптимизацию logsigmoid-функции потерь на относительных приращениях вероятностей winner- и loser-гипотез текущей модели относительно reference-модели. За reference-модель, как правило, берётся базовый чекпоинт алайнмента.

Мы попробовали DPO и заметили очень большую нестабильность обучения. От незначительных изменений базового чекпоинта качество итоговой модели менялось радикально — вплоть до факта сходимости или развала модели.

Посмотрев на графики обучения, мы выделили три причины такого нестабильного поведения.

«Гейминг» контрастной функции потерь. Контрастное обучение (или contrastive learning) производится на тройках обучающих примеров — триплетах. Модели показываются два альтернативных перевода одного исходного текста, причём один из этих переводов лучше второго по какой-либо мере сравнения (оценка человека, метрика reward model, синтетические rule-based-порчи и исправления).

Для заданной тройки примеров (source, good, bad) задача обучения в том, чтобы предпочтения модели среди этих вариантов были «выровнены» с предпочтениями датасета. То есть p_model (good) > p_model (bad) с возможными вариациями строгости ранжирования и другими условиями на сами значения вероятностей.

Проблема такой схемы обучения в том, что для оптимизации функции потерь модели достаточно просто расставить варианты переводов в правильном порядке (p(good) > p(bad)). В общем случае это не гарантирует высокое качество перевода с максимальной вероятностью — итогового ответа переводчика.

С этой проблемой мы и столкнулись во время первых запусков обучения алайнмента: нейросеть очень хорошо обучалась ранжированию ответов из датасета, при этом все ответы из датасета становились очень маловероятными, а в пул наиболее вероятных добавлялись случайные и никак не связанные с текстом последовательности.

Метрики обучения DPO без регуляризатора. Слева направо: accuracy ранжирования в триплете; loss-функция DPO; вероятность лучшей гипотезы из триплета

Другими словами, обучение вырождается в решение задачи ранжирования, а не генерации.

Мы придумали и используем следующее решение: чтобы LLM «не забывала» о том, что надо всё же писать хороший перевод как top-1-гипотезу, явно оставляем в loss-функции supervised-обучение на хороший референс (в данном случае лучшую гипотезу из триплета). С такой регуляризацией модель уже не «геймит» ранжирующую функцию потерь и одновременно оптимизирует две задачи: выравнивание ранжирования с preference-датасетом и supervised learning на хороший референс.

Такое обучение перестало деградировать и дало заметные улучшения относительно базового SFT-чекпоинта.

Зависимость от базовой модели. Если внимательно посмотреть на функцию потерь DPO, можно увидеть, что оптимизируется не само ранжирование (дельта вероятностей), а дельта относительных приращений вероятностей good- и bad-гипотез по сравнению с вероятностями исходного чекпоинта алайнмента.

Это гипотетически делает обучение более эффективным даже на тех примерах, где базовая модель и так хорошо ранжирует триплет. Но при этом, если ранжирование базовой модели было очень плохим, DPO loss проще сделать «чуть лучше» и не добиваться правильной расстановки вероятностей as is.

В нашем случае такое свойство приводило к большой нестабильности обучения: от замены init чекпоинта DPO итоговый результат очень сильно разнился. Иными словами, обучение DPO не было липшицевой функцией, и небольшие изменения в SFT непредсказуемым образом влияли на качество после alignment.

В качестве решения этой проблемы мы перешли на аналогичный DPO loss, работающий на сырых вероятностях модели — CPO (Contrastive Preference Optimization). Это сделало обучение стабильным без ухудшения пикового качества.

Малое количество документных данных. Ещё одной интересной проблемой алайнмента была его «низкоресурсность». Используя редактирования fluency repair и side-by-side-сравнения разных переводов, мы получили датасет порядка десятков тысяч сэмплов.

Небольшой размер этого датасета — ещё один фактор нестабильности сходимости. Модели не хватало данных для хорошей адаптации под задачу, и на практике возникало много галлюцинаций, а также пропусков длинных блоков текста.

Чтобы решить эту проблему, мы воспользовались технологией curriculum learning («обучения с расписанием»). Помимо корпуса документных триплетов, у нас есть корпус аналогичных триплетов из предложений, который мы использовали для старых sentence-level-моделей перевода. Данных предложений здесь на порядок больше. Именно по этой причине обучение на смеси двух типов (предложения + документы) эквивалентно обучению на предложениях.

Но можно делать и по-другому: сначала учиться на предложениях, а уже потом, в самом конце алайнмента, перейти на документы. В таком случае, с одной стороны, переводу документов обучается уже куда более сильная модель (она хорошо переводит предложения), с другой — обучение на документах происходит в самом конце и акцентировано только на них (документы «не размазываются» предложениями).

Схема curriculim learning на этапе алайнмента под задачу перевода. В начале обучения модель оптимизируется на большом датасете предложений и уже в финальной фазе переходит к задаче перевода документов

Здесь можно провести аналогию с обучением математике: если восьмикласснику дать учебник по гармоническому анализу, он ничего не поймёт, даже если будет очень прилежно стараться выучить правила. Но если он предварительно прочитает несколько учебников по алгебре и базовому матанализу, то справится и со сложной задачей. Так и наша LLM: сначала хорошо учится решать задачу на уровне предложений, а потом переходит к более сложной задаче контекстного document-level-перевода.

Чем же хороша LLM

Выше мы подробно обсудили наш пайплайн дообучения на перевод. А что же получилось в итоге? Насколько хорошо LLM теперь справляется с контекстным переводом и решена ли задача?

Давайте разбираться.

Исторически в машинном переводе применялись автоматические метрики — BLEU, ROUGE, METEOR. Они стали плохо работать несколько лет назад, потому что качество моделей стало достаточно высоким и стало видно, что exact-match-метрики поощряют буквальные переводы без перефразировок.

С появлением BERT-like-моделей и decoder-only-моделей возникли автоматические метрики (машиннообученные под оценки людей). Корреляция таких метрик куда выше, чем у rule-based, но их проблема — в низкой робастности к переводам систем, не похожих на системы из train-выборки этих метрик. Тоже не подходят.

Остаётся оценка людьми как самая честная (и интерпретируемая) метрика качества. Мы используем стандартный в индустрии подход MQM и оценку с помощью асессоров-профессионалов, прошедших тест на знание языка на высоком уровне.

Метрика представляет собой выделение ошибок модели внутри некоторого связного по смыслу сегмента (порядка параграфа). Качество модели в таком случае эквивалентно среднему количеству ошибок на сегмент текста. Чем меньше ошибок, тем лучше, в идеале 0. Разделяют два типа ошибок: грубые (major) и остальные (minor).

В итоге мы получили следующий результат:

System	Major errors
Yandex-old	1.07
GPT-4o	0.62
YandexGPT	0.56
Human	0.50

По общему количеству ошибок использование LLM дало огромный рост качества: мы практически в два раза снизили среднее число грубых ошибок на сегмент и сильно приблизились к уровню человеческих переводов.

А как изменились сами переводы? Переход на LLM и контекстную модель заметен и «на глаз»: текст перевода на русском стал гораздо более гладким и легкочитаемым, модель использует естественные формулировки и порядок слов, хорошо понимает идиомы. Другими словами, перевод стал менее буквальным и более литературным.

Вот несколько примеров.

“The Forsyte Saga”, John Galsworthy

Исходный текст: He himself had married a good deal of money, of which, it being then the golden age before the Married Women's Property Act, he had mercifully been enabled to make a successful use.

Новая LLM-модель: Он сам женился на богатой женщине, и, поскольку это был золотой век до принятия Закона о собственности замужних женщин, он, к счастью, смог успешно распорядиться деньгами.

NMT-перевод: Сам он женился на большой сумме денег, которыми, поскольку в то время был золотой век до принятия Закона о собственности замужних женщин, он, к счастью, смог успешно распорядиться.

“Farther Away”, Jonathan Franzen

Исходный текст: His intemperate youthful idealism, for which he'd done five years of hard time in Siberia, provided the impetus for Crime and Punishment and The Devils; his sensualism and compulsive nature and caustic rationality were the personally destabilizing forces against which he subsequently erected the fortress of The Brother Karamazov and lesser redoubts like The Gambler.

Новая LLM-модель: Его необузданный юношеский идеализм, из-за которого он провёл пять лет в Сибири, послужил толчком к написанию «Преступления и наказания» и «Бесов»; его чувственность, навязчивые идеи и язвительная рациональность были личностными дестабилизирующими факторами, против которых он впоследствии возвёл крепость «Братьев Карамазовых» и менее значимые укрепления, такие как «Игрок».

NMT-перевод: Его необузданный юношеский идеализм, за который он отсидел пять лет в Сибири, послужил толчком для создания «Преступления и наказания» и «Дьяволов»; его чувственность, компульсивный характер и язвительная рациональность были дестабилизирующими силами, против которых он впоследствии возвел крепость «Брата Карамазова» и меньшие редуты, такие как «Игрок».

“The Rebel Angels”, Robertson Davies

Исходный текст: The recapitulation is very similar to the exposition, although it is significantly more agitated. There is a grand pause during the first thematic section that leads into a massive climax. The second theme is also considerably shortened. The march theme from the introduction leads straight into an epic coda that features march rhythms and multiple high points in the orchestral texture, before ending on an E major chord.

Новая LLM-модель: Реприза очень похожа на экспозицию, хотя и значительно более взволнованная. В первой тематической части есть большая пауза, которая приводит к мощной кульминации. Вторая тема также значительно сокращена. Маршевая тема из вступления переходит прямо в эпическую коду, в которой присутствуют маршевые ритмы и несколько кульминаций в оркестровой фактуре, прежде чем закончиться на аккорде ми-мажор.

NMT-перевод: Краткое изложение очень похоже на экспозицию, хотя и значительно более эмоциональное. В первом тематическом разделе есть большая пауза, которая приводит к кульминации. Вторая тема также значительно сокращена. Маршевая тема из вступления сразу переходит в эпическую коду, в которой присутствуют маршевые ритмы и множество ярких моментов в оркестровой текстуре, а затем заканчивается аккордом ми мажор.

Сейчас новая модель уже доступна в нескольких наших сервисах:

— в Поиске, где помогает переводить зарубежные веб-страницы по наиболее популярным запросам;

— в Нейропереводчике, который доступен на новой вкладке Яндекс Браузера и помогает переводить тексты, документы и картинки в формате диалога;

— в Умной камере в приложении Яндекс и в Яндекс Браузере;

Скоро этот список пополнят и другие наши сервисы и продукты.

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21 февр. 2025 г.

07.09.23 16:24 CherryTeam

Cherry Team atlyginimų skaičiavimo programa yra labai naudingas įrankis įmonėms, kai reikia efektyviai valdyti ir skaičiuoti darbuotojų atlyginimus. Ši programinė įranga, turinti išsamias funkcijas ir patogią naudotojo sąsają, suteikia daug privalumų, kurie padeda supaprastinti darbo užmokesčio skaičiavimo procesus ir pagerinti finansų valdymą. Štai keletas pagrindinių priežasčių, kodėl Cherry Team atlyginimų skaičiavimo programa yra naudinga įmonėms: Automatizuoti ir tikslūs skaičiavimai: Atlyginimų skaičiavimai rankiniu būdu gali būti klaidingi ir reikalauti daug laiko. Programinė įranga Cherry Team automatizuoja visą atlyginimų skaičiavimo procesą, todėl nebereikia atlikti skaičiavimų rankiniu būdu ir sumažėja klaidų rizika. Tiksliai apskaičiuodama atlyginimus, įskaitant tokius veiksnius, kaip pagrindinis atlyginimas, viršvalandžiai, premijos, išskaitos ir mokesčiai, programa užtikrina tikslius ir be klaidų darbo užmokesčio skaičiavimo rezultatus. Sutaupoma laiko ir išlaidų: Darbo užmokesčio valdymas gali būti daug darbo jėgos reikalaujanti užduotis, reikalaujanti daug laiko ir išteklių. Programa Cherry Team supaprastina ir pagreitina darbo užmokesčio skaičiavimo procesą, nes automatizuoja skaičiavimus, generuoja darbo užmokesčio žiniaraščius ir tvarko išskaičiuojamus mokesčius. Šis automatizavimas padeda įmonėms sutaupyti daug laiko ir pastangų, todėl žmogiškųjų išteklių ir finansų komandos gali sutelkti dėmesį į strategiškai svarbesnę veiklą. Be to, racionalizuodamos darbo užmokesčio operacijas, įmonės gali sumažinti administracines išlaidas, susijusias su rankiniu darbo užmokesčio tvarkymu. Mokesčių ir darbo teisės aktų laikymasis: Įmonėms labai svarbu laikytis mokesčių ir darbo teisės aktų, kad išvengtų baudų ir teisinių problemų. Programinė įranga Cherry Team seka besikeičiančius mokesčių įstatymus ir darbo reglamentus, užtikrindama tikslius skaičiavimus ir teisinių reikalavimų laikymąsi. Programa gali dirbti su sudėtingais mokesčių scenarijais, pavyzdžiui, keliomis mokesčių grupėmis ir įvairių rūšių atskaitymais, todėl užtikrina atitiktį reikalavimams ir kartu sumažina klaidų riziką. Ataskaitų rengimas ir analizė: Programa Cherry Team siūlo patikimas ataskaitų teikimo ir analizės galimybes, suteikiančias įmonėms vertingų įžvalgų apie darbo užmokesčio duomenis. Ji gali generuoti ataskaitas apie įvairius aspektus, pavyzdžiui, darbo užmokesčio paskirstymą, išskaičiuojamus mokesčius ir darbo sąnaudas. Šios ataskaitos leidžia įmonėms analizuoti darbo užmokesčio tendencijas, nustatyti tobulintinas sritis ir priimti pagrįstus finansinius sprendimus. Pasinaudodamos duomenimis pagrįstomis įžvalgomis, įmonės gali optimizuoti savo darbo užmokesčio strategijas ir veiksmingai kontroliuoti išlaidas. Integracija su kitomis sistemomis: Cherry Team programinė įranga dažnai sklandžiai integruojama su kitomis personalo ir apskaitos sistemomis. Tokia integracija leidžia automatiškai perkelti atitinkamus duomenis, pavyzdžiui, informaciją apie darbuotojus ir finansinius įrašus, todėl nebereikia dubliuoti duomenų. Supaprastintas duomenų srautas tarp sistemų padidina bendrą efektyvumą ir sumažina duomenų klaidų ar neatitikimų riziką. Cherry Team atlyginimų apskaičiavimo programa įmonėms teikia didelę naudą - automatiniai ir tikslūs skaičiavimai, laiko ir sąnaudų taupymas, atitiktis mokesčių ir darbo teisės aktų reikalavimams, ataskaitų teikimo ir analizės galimybės bei integracija su kitomis sistemomis. Naudodamos šią programinę įrangą įmonės gali supaprastinti darbo užmokesčio skaičiavimo procesus, užtikrinti tikslumą ir atitiktį reikalavimams, padidinti darbuotojų pasitenkinimą ir gauti vertingų įžvalgų apie savo finansinius duomenis. Programa Cherry Team pasirodo esanti nepakeičiamas įrankis įmonėms, siekiančioms efektyviai ir veiksmingai valdyti darbo užmokestį. https://cherryteam.lt/lt/
08.10.23 01:30 davec8080

The "Shibarium for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH. The Plot Thickens. Someone posted the actual transactions!!!! https://bscscan.com/tx/0xa846ea0367c89c3f0bbfcc221cceea4c90d8f56ead2eb479d4cee41c75e02c97 It seems the article is true!!!! And it's also FUD. Let me explain. Check this link: https://bscscan.com/token/0x5a752c9fe3520522ea88f37a41c3ddd97c022c2f So there really is a "Shibarium" token. And somebody did a rug pull with it. CONFIRMED. But the "Shibarium" token for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH.
24.06.24 04:31 tashandiarisha

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26.06.24 18:46 Jacobethannn098

LEGAL RECOUP FOR CRYPTO THEFT BY ADRIAN LAMO HACKER
26.06.24 18:46 Jacobethannn098

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04.07.24 04:49 ZionNaomi

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13.07.24 21:13 michaelharrell825

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17.07.24 02:26 thompsonrickey

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18.07.24 20:13 austinagastya

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27.08.24 12:50 James889900

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27.08.24 13:06 James889900

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02.09.24 20:24 [email protected]

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06.09.24 01:35 Celinagarcia

HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.
06.09.24 01:44 Celinagarcia

HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.
16.09.24 00:10 marcusaustin

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16.09.24 00:11 marcusaustin

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23.09.24 18:56 matthewshimself

At first, I was admittedly skeptical about Worldcoin (ref: https://worldcoin.org/blog/worldcoin/this-is-worldcoin-video-explainer-series), particularly around the use of biometric data and the WLD token as a reward mechanism for it. However, after following the project closer, I’ve come to appreciate the broader vision and see the value in the underlying tech behind it. The concept of Proof of Personhood (ref: https://worldcoin.org/blog/worldcoin/proof-of-personhood-what-it-is-why-its-needed) has definitely caught my attention, and does seem like a crucial step towards tackling growing issues like bots, deepfakes, and identity fraud. Sam Altman’s vision is nothing short of ambitious, but I do think he & Alex Blania have the chops to realize it as mainstay in the global economy.
01.10.24 14:54 Sinewclaudia

I lost about $876k few months ago trading on a fake binary option investment websites. I didn't knew they were fake until I tried to withdraw. Immediately, I realized these guys were fake. I contacted Sinew Claudia world recovery, my friend who has such experience before and was able to recover them, recommended me to contact them. I'm a living testimony of a successful recovery now. You can contact the legitimate recovery company below for help and assistance. [email protected] [email protected] WhatsApp: 6262645164
02.10.24 22:27 Emily Hunter

Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.
18.10.24 09:34 freidatollerud

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31.10.24 00:13 ytre89

Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.
02.11.24 14:44 diannamendoza732

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12.11.24 00:50 TERESA

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21.11.24 08:02 Emily Hunter

If I hadn't found a review online and filed a complaint via email to support@deftrecoup. com , the people behind this unregulated scheme would have gotten away with leaving me in financial ruins. It was truly the most difficult period of my life.
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22.11.24 23:43 teresaborja

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I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT
25.11.24 02:19 briankennedy

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25.11.24 02:20 briankennedy

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26.11.24 23:12 rickrobinson8

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27.11.24 00:39 [email protected]

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27.11.24 09:10 Michal Novotny

The biggest issue with cryptocurrency is that it is unregulated, wh ich is why different people can come up with different fake stories all the time, and it is unfortunate that platforms like Facebook and others only care about the money they make from them through ads. I saw an ad on Facebook for Cointiger and fell into the scam, losing over $30,000. I reported it to Facebook, but they did nothing until I discovered deftrecoup . c o m from a crypto community; they retrieved approximately 95% of the total amount I lost.
01.12.24 17:21 KollanderMurdasanu

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02.12.24 23:02 ytre89

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04.12.24 22:24 andreygagloev

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12.12.24 00:35 amandagregory

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12.12.24 00:35 amandagregory

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27.12.24 00:21 swiftdream

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04.01.25 04:56 florencestella

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04.01.25 04:57 florencestella

THE BEST CERTIFIED CRYPTOCURRENCY RECOVERY EXPERT DUNAMIS CYBER SOLUTION It sounds like you went through a very frustrating experience with Cointrack, where your access to your own funds was unjustly restricted for months without clear communication or a solution. The extended periods of account freezes, lack of transparency, and vague customer support responses would make anyone anxious. It’s understandable that you suspected the issue could be related to your login activity, but it’s surprising that something as minor as using the same Wi-Fi network could trigger such severe restrictions. I’m glad to hear that DUNAMIS CYBER SOLUTION Recovery was able to help you get your account unlocked and resolve the issue. It’s unfortunate that you had to seek third-party assistance, but it’s a relief that the situation was eventually addressed. If you plan on using any platforms like this again, you might want to be extra cautious, especially when dealing with sensitive financial matters. And if you ever need to share your experience to help others avoid similar issues, feel free to reach out. It might be helpful for others to know about both the pitfalls and the eventual resolution through services like DUNAMIS CYBER SOLUTION Recovery. [email protected] +13433030545 [email protected]
06.01.25 19:09 michaeljordan15

We now live in a world where most business transactions are conducted through Bitcoin and cryptocurrency. With the rapid growth of digital currencies, everyone seems eager to get involved in Bitcoin and cryptocurrency investments. This surge in interest has unfortunately led to the rise of many fraudulent platforms designed to exploit unsuspecting individuals. People are often promised massive profits, only to lose huge sums of money when they realize the platform they invested in was a scam. contact with WhatsApp: +1 (443) 859 - 2886 Email @ digitaltechguard.com Telegram: digitaltechguardrecovery.com website link:: https://digitaltechguard.com This was exactly what happened to me five months ago. I was excited about the opportunity to invest in Bitcoin, hoping to earn a steady return of 20%. I found a platform that seemed legitimate and made my investment, eagerly anticipating the day when I would be able to withdraw my earnings. When the withdrawal day arrived, however, I encountered an issue. My bank account was not credited, despite seeing my balance and the supposed profits in my account on the platform. At first, I assumed it was just a technical glitch. I thought, "Maybe it’s a delay in the system, and everything will be sorted out soon." However, when I tried to contact customer support, the line was either disconnected or completely unresponsive. My doubts started to grow, but I wanted to give them the benefit of the doubt and waited throughout the day to see if the situation would resolve itself. But by the end of the day, I realized something was terribly wrong. I had been swindled, and my hard-earned money was gone. The realization hit me hard. I had fallen victim to one of the many fraudulent Bitcoin platforms that promise high returns and disappear once they have your money. I knew I had to act quickly to try and recover what I had lost. I started searching online for any possible solutions, reading reviews and recommendations from others who had faced similar situations. That’s when I came across many positive reviews about Digital Tech Guard Recovery. After reading about their success stories, I decided to reach out and use their services. I can honestly say that Digital Tech Guard Recovery exceeded all my expectations. Their team was professional, efficient, and transparent throughout the process. Within a short time, they helped me recover a significant portion of my lost funds, which I thought was impossible. I am incredibly grateful to Digital Tech Guard Recovery for their dedication and expertise in helping me get my money back. If you’ve been scammed like I was, don’t lose hope. There are solutions, and Digital Tech Guard Recovery is truly one of the best. Thank you, Digital Tech Guard Recovery! You guys are the best. Good luck to everyone trying to navigate this challenging space. Stay safe.
18.01.25 12:41 michaeldavenport218

I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance, contact [email protected] Capital Crypto Recover on Telegram OR Call Number +1 (336)390-6684 via email: [email protected]
18.01.25 12:41 michaeldavenport218

I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance, contact [email protected] Capital Crypto Recover on Telegram OR Call Number +1 (336)390-6684 via email: [email protected]
20.01.25 15:39 patricialovick86

How To Recover Your Bitcoin Without Falling Victim To Scams: A Testimony Experience With Capital Crypto Recover Services, Contact Telegram: @Capitalcryptorecover Dear Everyone, I would like to take a moment to share my positive experience with Capital Crypto Recover Services. Initially, I was unsure if it would be possible to recover my stolen bitcoins. However, with their expertise and professionalism, I was able to fully recover my funds. Unfortunately, many individuals fall victim to scams in the cryptocurrency space, especially those involving fraudulent investment platforms. However, I advise caution, as not all recovery services are legitimate. I personally lost $273,000 worth of Bitcoin from my Binance account due to a deceptive platform. If you have suffered a similar loss, you may be considering crypto recovery, The Capital Crypto Recover is the most knowledgeable and effective Capital Crypto Recovery Services assisted me in recovering my stolen funds within 24 hours, after getting access to my wallet. Their service was not only prompt but also highly professional and effective, and many recovery services may not be trustworthy. Therefore, I highly recommend Capital Crypto Recover to you. i do always research and see reviews about their service, For assistance finding your misplaced cryptocurrency, get in touch with them, They do their jobs quickly and excellently, Stay safe and vigilant in the crypto world. You can reach them via email at [email protected] OR Call/Text Number +1 (336)390-6684 his contact: [email protected]
22.01.25 21:43 DoraJaimes23

Recovery expert. I lost my bitcoin to fake blockchain impostors on Facebook, they contacted me as blockchain official support and i fell stupidly for their mischievous act, this made them gain access into my blockchain wallet whereby 7.0938 btc was stolen from my wallet in total .I was almost in a comma and dumbfounded because this was all my savings i relied on . Then I made a research online and found a recovery expert , with the contact address- { RECOVERYHACKER101 (@) GMAIL . COM }... I wrote directly to the specialist explaining my loss. Hence, he helped me recover a significant part of my investment just after 2 days he helped me launch the recovery program , and the culprits were identified as well , all thanks to his expertise . I hope I have been able to help someone as well . Reach out to the recovery specialist to recover you lost funds from any form of online scam Thanks
23.01.25 02:36 [email protected]

After falling victim to a fraudulent Bitcoin mining scam, I found myself in a desperate situation. I had invested $50,000 into a cloud mining website called Miningpool, which turned out to be a complete scam. For months, I tried reaching out to the company, but I was unable to access my funds, and I quickly realized I had been taken for a ride. In my search for help, I came across TrustGeeks Hack Expert, a service that claimed to help people recover lost funds from crypto scams. Though skeptical at first, I decided to give them a try. Here’s my experience with their service.When I initially contacted TrustGeeks Hack Expert Email.. Trustgeekshackexpert{At}fastservice{Dot}com , I was understandably hesitant. Like many others, I had been tricked into believing my Bitcoin investments were legitimate, only to discover they were locked in a non-spendable wallet with no way of accessing them. However, after sharing my story and details about the scam, the team assured me they had handled similar cases and had the expertise to help. They requested basic information about my investment and began their investigation immediately. The recovery process was nothing short of professional. Unlike many other services that promise quick fixes but fail to deliver, TrustGeeks Hack Expert kept me informed at every stage. They regularly updated me on their progress and were completely transparent about the challenges they faced. There were moments when I wondered if the process would work, but the team’s professionalism and reassurance gave me hope. They were honest about the time it would take and did not make any unrealistic promises, which I truly appreciated. After several weeks of work, TrustGeeks Hack Expert successfully recovered not just my $50,000 investment, but also the so-called profits that had been locked away in the scam's non-spendable wallet. This was a huge relief, as I had resigned myself to the idea that I had lost everything. The entire recovery process was discreet and handled with the utmost care, ensuring that the scam company remained unaware of the recovery efforts, which helped prevent further complications. TeleGram iD. Trustgeekshackexpert & What's A p p +1 7 1 9 4 9 2 2 6 9 3
23.01.25 02:37 [email protected]

After falling victim to a fraudulent Bitcoin mining scam, I found myself in a desperate situation. I had invested $50,000 into a cloud mining website called Miningpool, which turned out to be a complete scam. For months, I tried reaching out to the company, but I was unable to access my funds, and I quickly realized I had been taken for a ride. In my search for help, I came across TrustGeeks Hack Expert, a service that claimed to help people recover lost funds from crypto scams. Though skeptical at first, I decided to give them a try. Here’s my experience with their service.When I initially contacted TrustGeeks Hack Expert Email.. Trustgeekshackexpert{At}fastservice{Dot}com , I was understandably hesitant. Like many others, I had been tricked into believing my Bitcoin investments were legitimate, only to discover they were locked in a non-spendable wallet with no way of accessing them. However, after sharing my story and details about the scam, the team assured me they had handled similar cases and had the expertise to help. They requested basic information about my investment and began their investigation immediately. The recovery process was nothing short of professional. Unlike many other services that promise quick fixes but fail to deliver, TrustGeeks Hack Expert kept me informed at every stage. They regularly updated me on their progress and were completely transparent about the challenges they faced. There were moments when I wondered if the process would work, but the team’s professionalism and reassurance gave me hope. They were honest about the time it would take and did not make any unrealistic promises, which I truly appreciated. After several weeks of work, TrustGeeks Hack Expert successfully recovered not just my $50,000 investment, but also the so-called profits that had been locked away in the scam's non-spendable wallet. This was a huge relief, as I had resigned myself to the idea that I had lost everything. The entire recovery process was discreet and handled with the utmost care, ensuring that the scam company remained unaware of the recovery efforts, which helped prevent further complications. TeleGram iD. Trustgeekshackexpert & What's A p p +1 7 1 9 4 9 2 2 6 9 3
23.01.25 14:20 nellymargaret

DUNAM CYBER SOLUTION BTC-ETH RECOVERY EXPERT
23.01.25 14:20 nellymargaret

DUNAM CYBER SOLUTION BTC-ETH RECOVERY EXPERT I had tried to secure my Bitcoin wallet, maybe a bit too aggressively, enabling every security feature imaginable: two-factor authentication, biometric verification, intricate passwords-the whole shebang. I wanted to make it impossible for anybody to get to my money. I tried to make this impregnable fortress of security and ended up locking myself out of my wallet with $700,000 in Bitcoin. It wasn't until I tried to access my wallet that I realized the trap I had set for myself. I was greeted with an endless series of security checks-passwords, codes, facial recognition, and more. I could remember parts of my multi-layered security setup but not enough to actually get in. In fact, my money was behind this digital fortress, and the more I tried to fix it, the worse it seemed to get. I kept tripping over my own layers of protection, unable to find a way back in. Panic quickly set in when I realized I had made it almost impossible for myself to access my own money. That is when I called DUNAMIS CYBER SOLUTION From that very first call, they reassured me that I wasn't the first person to make this kind of mistake and certainly wouldn't be the last. They listened attentively to my explanation and got to work straight away. Their team methodically began to untangle my overly complicated setup. Patience and expertise managed to crack each layer of security step by step until they had restored access to my wallet. [email protected] +13433030545 [email protected]
26.01.25 03:54 [email protected]

Losing access to my crypto wallet account was one of the most stressful experiences ever. After spending countless hours building up my portfolio, I suddenly found myself locked out of my account without access. To make matters worse, the email address I had linked to my wallet was no longer active. When I tried reaching out, I received an error message stating that the domain was no longer in use, leaving me in complete confusion and panic. It was as though everything I had worked so hard for was gone, and I had no idea how to get it back. The hardest part wasn’t just the loss of access it was the feeling of helplessness. Crypto transactions are often irreversible, and since my wallet held significant investments, the thought that my hard-earned money could be lost forever was incredibly disheartening. I spent hours scouring forums and searching for ways to recover my funds, but most of the advice seemed either too vague or too complicated to be of any real help. With no support from the wallet provider and my email account out of reach, I was left feeling like I had no way to fix the situation.That’s when I found out about Trust Geeks Hack Expert . I was hesitant at first, but after reading about their expertise in recovering lost crypto wallets, I decided to give them a try. I reached out to their team, and from the very beginning, they were professional, understanding, and empathetic to my situation. They quickly assured me that there was a way to recover my wallet, and they got to work immediately.Thanks to Trust Geeks Hack Expert , my wallet and funds were recovered, and I couldn’t be more grateful. The process wasn’t easy, but their team guided me through each step with precision and care. The sense of relief I felt when I regained access to my crypto wallet and saw my funds safely back in place was indescribable. If you find yourself in a similar situation, I highly recommend reaching out to Trust Geeks Hack Expert. contact Them through EMAIL: [email protected] + WEBSITE. HTTPS://TRUSTGEEKSHACKEXPERT.COM + TELE GRAM: TRUSTGEEKSHACKEXPERT
28.01.25 21:48 [email protected]

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02.02.25 20:53 Michael9090

I lost over $155,000 in an investment trading company last year; I was down because the company refused to let me make withdrawals and kept asking for more money…. My friend in the military introduced me to a recovery agent Crypto Assets Recovery with the email address [email protected] and he’s been really helpful, he made a successful recovery of 95% of my investment in less than 24 hours, I’m so grateful to him. If you are a victim of a binary scam and need to get your money back, please don’t hesitate to contact Crypto Assets Recovery in any of the information below. EMAIL: [email protected] WHATSAPP NUMBER : +18125892766
05.02.25 00:04 Jannetjeersten

TECH CYBER FORCE RECOVERY quickly took action, filing my case and working tirelessly on my behalf. Within just four days, I received the surprising news that my 40,000 CAD had been successfully refunded and deposited back into my bank account. I was overjoyed and relieved to see the money returned, especially after the stressful experience. Thanks to TECH CYBER FORCE RECOVERY’s professionalism and dedication, I was able to recover my funds. This experience taught me an important lesson about being cautious with online investments and the importance of seeking expert help when dealing with scams. I am truly grateful to EMAIL: support(@)techcyberforcerecovery(.)com OR WhatsApp: +.1.5.6.1.7.2.6.3.6.9.7 for their assistance, which allowed me to reclaim my money and end the holiday season on a much brighter note.
06.02.25 19:42 Marta Golomb

My name is Marta, and I’m sharing my experience in the hope that it might help others avoid a similar scam. A few weeks ago, I received an email that appeared to be from the "Department of Health and Human Services (DHS)." It claimed I was eligible for a $72,000 grant debit card, which seemed like an incredible opportunity. At first, I was skeptical, but the email looked so professional and convincing that I thought it might be real. The email instructed me to click on a link to claim the grant, and unfortunately, I followed through. I filled out some personal details, and then, unexpectedly, I was told I needed to pay a "processing fee" to finalize the grant. I was hesitant, but the urgency of the message pushed me to make the payment, believing it was a necessary step to receive the funds. Once the payment was made, things quickly went downhill. The website became unreachable, and I couldn’t get in touch with anyone from the supposed DHS. It soon became clear that I had been scammed. The email, which seemed so legitimate, had been a clever trick to steal my money.Devastated and unsure of what to do, I began searching for ways to recover my lost funds. That’s when I found Tech Cyber Force Recovery, a team of experts who specialize in tracing stolen money and assisting victims of online fraud. They were incredibly reassuring and quickly got to work on my case. After several days of investigation, they managed to track down the scammers and recover my funds. I can’t express how grateful I am for their help. Without Tech Cyber Force Recovery, I don’t know what I would have done. This experience has taught me a valuable lesson: online scams are more common than I realized, and the scammers behind them are incredibly skilled. They prey on people’s trust, making it easy to fall for their tricks. HOW CAN I RECOVER MY LOST BTC,USDT =Telegram= +1 561-726-36-97 =WhatsApp= +1 561-726-36-97
08.02.25 05:45 [email protected]

I'm incredibly grateful that I did enough research to recover my stolen cryptocurrency. When I first fell victim to a scam, I felt hopeless and lost, unsure if I'd ever see my funds again. A few months ago, I was approached by someone on Telegram who claimed to have a lucrative investment opportunity in cryptocurrencies. They promised huge returns and played on my emotions, making it seem like a can't-miss chance. I was so eager to make my money grow that I didn't fully vet the situation, and unfortunately, I ended up falling for the scam. They guided me to invest a significant amount of money, and soon after, I realized I had been duped. The scammers blocked me, and my funds were gone. I felt devastated. All of my savings had been wiped out in what seemed like an instant, and the feeling of being taken advantage of was crushing. I spent days researching how to recover my stolen cryptocurrency but found the process to be overwhelming and complicated. I was starting to lose hope when I came across Trust Geeks Hack Expert. At first, I was skeptical about reaching out to a cryptocurrency recovery company, but after reading testimonials and researching their reputation, I decided to give them a try. I contacted Trust Geeks Hack Expert Website: www://trustgeekshackexpert.com/, and I was immediately reassured by their professionalism and expertise. They took the time to listen to my situation, and they were honest about what could and could not be done. What stood out to me was their deep understanding of cryptocurrency fraud and the recovery process. They were able to track down the scammers and initiate the recovery of my stolen funds, step by step. Thanks to Trust Geeks Hack Expert, I was able to get back a significant portion of the cryptocurrency I had lost. Their team was responsive, transparent, and diligent in their efforts. I was kept informed throughout the entire process, and they made sure I felt supported every step of the way. I truly can't thank them enough for their dedication and for restoring my faith in the possibility of recovery after such a devastating loss. I will definitely recommend Trust Geeks Hack Expert to anyone who has fallen victim to a cryptocurrency scam. TeleGram: Trustgeekshackexpert & what's A p p +1 7 1 9 4 9 2 2 6 9 3
08.02.25 05:46 [email protected]

I'm incredibly grateful that I did enough research to recover my stolen cryptocurrency. When I first fell victim to a scam, I felt hopeless and lost, unsure if I'd ever see my funds again. A few months ago, I was approached by someone on Telegram who claimed to have a lucrative investment opportunity in cryptocurrencies. They promised huge returns and played on my emotions, making it seem like a can't-miss chance. I was so eager to make my money grow that I didn't fully vet the situation, and unfortunately, I ended up falling for the scam. They guided me to invest a significant amount of money, and soon after, I realized I had been duped. The scammers blocked me, and my funds were gone. I felt devastated. All of my savings had been wiped out in what seemed like an instant, and the feeling of being taken advantage of was crushing. I spent days researching how to recover my stolen cryptocurrency but found the process to be overwhelming and complicated. I was starting to lose hope when I came across Trust Geeks Hack Expert. At first, I was skeptical about reaching out to a cryptocurrency recovery company, but after reading testimonials and researching their reputation, I decided to give them a try. I contacted Trust Geeks Hack Expert Website: www://trustgeekshackexpert.com/, and I was immediately reassured by their professionalism and expertise. They took the time to listen to my situation, and they were honest about what could and could not be done. What stood out to me was their deep understanding of cryptocurrency fraud and the recovery process. They were able to track down the scammers and initiate the recovery of my stolen funds, step by step. Thanks to Trust Geeks Hack Expert, I was able to get back a significant portion of the cryptocurrency I had lost. Their team was responsive, transparent, and diligent in their efforts. I was kept informed throughout the entire process, and they made sure I felt supported every step of the way. I truly can't thank them enough for their dedication and for restoring my faith in the possibility of recovery after such a devastating loss. I will definitely recommend Trust Geeks Hack Expert to anyone who has fallen victim to a cryptocurrency scam. TeleGram: Trustgeekshackexpert & what's A p p +1 7 1 9 4 9 2 2 6 9 3
10.02.25 21:22 sulabhakuchchal

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11.02.25 04:24 heyemiliohutchinson

I invested substantially in Bitcoin, believing it would secure my future. For a while, things seemed to be going well. The market fluctuated, but I was confident my investment would pay off. But catastrophe struck without warning. I lost access to my Bitcoin holdings as a result of several technical issues and inadequate security measures. Every coin in my wallet suddenly disappeared, leaving me with an overpowering sense of grief. The emotional impact of this loss was far greater than I had imagined. I spiraled into despair, feeling as though my dreams of financial independence were crushed. I was on the verge of giving up when I came across Assets_Recovery_Crusader. Being willing to give them a chance, I had nothing left to lose. They listened to my narrative and took the time to comprehend the particulars of my circumstance, rather than treating me like a case number. They worked diligently, using their advanced recovery techniques and deep understanding of blockchain technology to track down my lost Bitcoin. Assets_Recovery_Crusader rebuilt my trust in the bitcoin space. The financial impact had a significant emotional toll, but I was able to get past it thanks to Assets_Recovery_Crusader’s proficiency and persistence. For proper talks, reach out to them via TELEGRAM : Assets_Recovery_Crusader EMAIL: [email protected]
11.02.25 22:46 jimmybrown

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11.02.25 22:46 jimmybrown

HIRE A HACKE DUNAMIS CYBER SOLUTIONI was just hours away from sealing the biggest real estate deal of my life- the kind of deal that would make one feel like a financial genius. It was the dream property, and all I had to do was transfer my $450,000 Bitcoin deposit. Simple, right? Wrong. I pulled up my crypto wallet, ready to finalize the transfer, and access was denied. No big deal. Maybe I mistyped the password. I tried again. Access denied. Panic started seeping in. I switched devices. Rebooted my system. I entered every password I had ever used since the dawn of time, including my childhood nickname and my favorite pizza topping. Still. Nothing. This wasn't a glitch. This was a full-scale disaster. The seller was waiting; my real estate agent was waiting. And my money? Trapped in a digital vault I suddenly had no key to. Every worst-case scenario flooded my head: Had I been hacked? Did I lock myself out? Was this some kind of cosmic payback for every time I blew off software updates? Just about the time I was getting comfortable in my new identity as the guy who almost bought a house, I remembered that a friend, a crypto lawyer-once said something to me about a recovery service. I called him with the urgency of a man dangling off a cliff. The moment I said what happened, he cut me off: "Email DUNAMIS CYBER SOLUTION Recovery. Now." I didn't ask questions. I dialed quicker than I'd ever dialed in my life. From the second they answered, I knew I was with the pros. There was no hemming, no hawing; this team must have handled its fair share of this particular type of nightmare. They talked me through the process, asked the right questions, and went to work like surgeons in a digital operating room. Minutes felt like hours. I was at DEFCON 1, stress-wise. I paced and stared at my phone, wondering if it was time to move into a cave because, at this rate, homeownership was not looking good. Then—the call came: "We got it." I just about collapsed with relief. My funds were safe. My wallet was unlocked. The Bitcoin was transferred just in time, and I signed the contract with literal seconds to spare. And that night, almost lost to the tech catastrophe of the century in that house, I made a couple of vows: never underestimate proper wallet management and always keep DUNAMIS CYBER SOLUTION Recovery on speed dial. [email protected] +13433030545
13.02.25 14:45 aoifewalsh130

TELEGRAM: u/BestwebwizardRecovery EMAIL: [email protected] WEBSITE: https://bestwebwizrecovery.com/ The money I invested was meant for something incredibly important—my wedding. After months of saving, I had finally accumulated enough to make the day truly special. Wanting to grow this fund, I came across a crypto site called Abcfxb.pro, which promised daily returns through “AI crypto arbitrage trading.” They claimed they could deliver 1% returns on my investment every day, and I saw this as an opportunity to multiply my savings quickly. I thought it was the perfect way to ensure I’d have enough to cover all the wedding expenses. For the first few days, everything seemed perfect. I saw the promised returns and was able to withdraw money without any issues. It felt like a legitimate opportunity, and I was excited as my wedding fund grew. However, things took a turn when I tried to withdraw again. The site claimed that my account balance had fallen below their liquidity requirement and asked me to deposit more funds to proceed. Reluctantly, I deposited more money, believing it was just a minor issue. But the situation only worsened. I was then told that my withdrawal would take 50 days due to “blockchain congestion.” I wasn’t too concerned at first, thinking it was just a delay. But after 50 days, I still hadn’t received my funds, and they gave me the same excuse. Desperate, I contacted the site again, only to be informed that I would need to pay a 15% fee for “technical support” from the “Federal Reserve’s blockchain regulator” before I could withdraw my money. By now, I realized I had fallen victim to a scam. As I researched further, I found that others had been scammed in the same way, and the scammers had moved to another site with nearly the same layout. It was then that I came across a review from another victim, who explained how Best Web Wizard Recovery had helped him recover his lost funds. Desperate for a solution, I reached out to Best Web Wizard Recovery. To my relief, they responded quickly and professionally. Within six hours, they had successfully recovered my full investment. I was beyond grateful, especially since the money had been intended for my wedding. Thanks to their help, I was able to not only get my money back but also go ahead with my wedding as planned. It was a day I will always cherish, and I owe it to Best Web Wizard Recovery for helping me make it a reality. I highly recommend their services to anyone who has fallen victim to a crypto scam.
13.02.25 16:50 andytom798

I lost $210,000 worth of Bitcoin to a group of fake blockchain impostors on Red note, a Chinese app. They contacted me, pretending to be official blockchain support, and I was misled into believing they were legitimate. At the time, I had been saving up in Bitcoin, hoping to take advantage of the rising market. The scammers were convincing, and I made the mistake of trusting them with access to my blockchain wallet. To my shock and disbelief, they stole a total of $10,000 worth of Bitcoin from my wallet. It was devastating, as this amount represented all of my hard-earned savings. I was in utter disbelief, feeling foolish for falling for their deceptive tactics. I felt lost, as though everything I had worked towards was taken from me in an instant. Thankfully, my uncle suggested I reach out to an expert in cryptocurrency recovery. After doing some research online, I came across CYBERPOINT RECOVERY COMPANY. I was hesitant at first, but their positive reviews gave me some hope. I decided to contact them directly and explained my situation, including the amount I had lost and how the scammers had gained access to my account. To my relief, the team at CYBERPOINT RECOVERY responded quickly and assured me they could help. They launched a detailed recovery program, using advanced tools and techniques to trace the stolen Bitcoin. Within a matter of days, they successfully recovered my full $210,000 worth of Bitcoin, and they even identified the individuals behind the scam. Their expertise and professionalism made a huge difference, and I was incredibly grateful for their support. If you find yourself in a similar situation, I highly recommend reaching out to Cyber Constable Intelligence. They helped me recover my funds when I thought all hope was lost. Whether you’ve lost money to scammers or any other form of online fraud, they have the knowledge and resources to help you get your funds back. Don’t give up there are experts who can help you reclaim what you’ve lost. I’m sharing my story to hopefully guide others who are going through something similar. Here's Their Info Below ([email protected]) or W.H.A.T.S.A.P.P:+1.7.6.0.9.2.3.7.4.0.7
13.02.25 16:52 birenderkumar20101

I was able to reclaim my lost Bitcoin assets worth of $480,99 which i had lost to the scam company known as Capitalix fx a scam company pretending to be an investment platform which alot of people including myself have lost their funds to, sadly not all would be fortunate enough to retrieve back their funds like I did but if you’re reading this today then you’re already a step closer towards regaining your lost digital assets, CYBERPOINT RECOVERY COMPANY successfully retrieved back my funds in less than of 48hours after I sought for their help to get back my funds. This experience has taught me the importance of carrying out my due diligence before embracing any financial opportunity presented to me and while risk taking may be a part of the journey, some risks are not worth taking and never again will I involve myself with any online financial investment. It’s only right that we seek for external intervention and support of a higher knowledge system when it comes to digital assets recovery, Get in contact today with the team to get started on Email: ([email protected])
13.02.25 17:37 eunice49954

Agent Jasmine Lopez focuses on recovering stolen cryptocurrency, particularly USDT. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $122,000 was taken from me. Thanks to Ms. Lopez's skills, I recovered the entire amount in just 24 hours. Her prompt response and effective methods relieved my financial burden. Ms. Lopez’s commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email at recoveryfundprovider@gmail . com or contacted directly on WhatsApp and text at +44 - 7366 445035. Her Instagram handle is recoveryfundprovider.
14.02.25 02:50 Vladimir876

I was able to reclaim my lost Bitcoin assets worth of $480,99 which i had lost to the scam company known as Capitalix fx a scam company pretending to be an investment platform which alot of people including myself have lost their funds to, sadly not all would be fortunate enough to retrieve back their funds like I did but if you’re reading this today then you’re already a step closer towards regaining your lost digital assets, CYBERPOINT RECOVERY COMPANY successfully retrieved back my funds in less than of 48hours after I sought for their help to get back my funds. This experience has taught me the importance of carrying out my due diligence before embracing any financial opportunity presented to me and while risk taking may be a part of the journey, some risks are not worth taking and never again will I involve myself with any online financial investment. It’s only right that we seek for external intervention and support of a higher knowledge system when it comes to digital assets recovery, Get in contact today with the team to get started on Email: ([email protected]) or W.H.A.T.S.A.P.P:+1.7.6.0.9.2.3.7.4.0.7
14.02.25 02:56 christophadelbert3

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14.02.25 02:56 christophadelbert3

I was in total dismay when I lost my entire savings investing in cryptocurrency, I was contacted online by a lady through email pretending to be an account manager of a bank, who told me I could make double my savings through cryptocurrency investment, I never imagined it would be a scam and I was going to lose everything. It went on for weeks until I realized that I have been scammed. All hope was lost, I was devastated and broke, fortunately for me, I came across an article on my local bulletin about CYBERPUNK RECOVERY Bitcoin Recovery, I contacted them and provided all the information regarding my case, I was amazed at how quickly they recovered my cryptocurrency funds and was able to trace down those scammers. I’m truly grateful for their service and I recommend CYBERPUNK RECOVERY to everyone who needs to recover their funds urge you to contact CYBERPUNK if you have lost your bitcoin USDT or ETH through bitcoin investment Email: ([email protected]) WhatsApp (+17609237407)
14.02.25 15:33 prelogmilivoj

I never imagined I would find myself in a situation where I was scammed out of such a significant amount of money, but it happened. I became a victim of a fake online donation project that cost me over $30,000. It all started innocently enough when I was searching for assistance after a devastating fire incident in California. While looking for support, I came across an advertisement that seemed to offer donations for fire victims. The ad appeared legitimate, and I reached out to the project manager to inquire about how to receive the donations. The manager was very convincing and insisted that in order to qualify for the donations, I needed to pay $30,000 upfront. In return, I was promised $1 million in donations. It sounded a bit too good to be true, but in my desperate situation, I made the mistake of believing it. The thought of receiving a substantial amount of help to rebuild after the fire clouded my judgment, and I went ahead and sent the money. However, after transferring the funds, the promised donations never arrived, and the manager disappeared. That’s when I realized I had been scammed. Feeling lost, helpless, and completely betrayed, I tried everything I could to contact the scammer, but all my efforts were in vain. Desperation led me to search for help online, hoping to find a way to recover my money and potentially track down the scammer. That’s when I stumbled upon several testimonies from others who had fallen victim to similar scams and had been helped by a company called Tech Cyber Force Recovery. I reached out to them immediately, providing all the details of the scam and the information I had gathered. To my immense relief, the experts at Tech Cyber Force Recovery acted swiftly. Within just 27 hours, they were able to locate the scammer and initiate the recovery process. Not only did they help me recover the $30,000 I had lost, but the most satisfying part was that the scammer was apprehended by local authorities in their region. Thanks to Tech Cyber Force Recovery, I was able to get my money back and hold the scammer accountable for their actions. I am incredibly grateful for their professionalism, expertise, and dedication to helping victims like me. If you have fallen victim to a scam or fraudulent activity, I highly recommend contacting Tech Cyber Force Recovery. They provide swift and efficient recovery assistance, and I can confidently say they made all the difference in my situation. ☎☎ 1️⃣5️⃣6️⃣1️⃣7️⃣2️⃣6️⃣3️⃣6️⃣9️⃣7️⃣ ☎☎ 📩 1️⃣5️⃣6️⃣1️⃣7️⃣2️⃣6️⃣3️⃣6️⃣9️⃣7️⃣ 📩
14.02.25 22:12 eunice49954

Agent Jasmine Lopez focuses on recovering stolen cryptocurrency, particularly USDT. She is well-known for helping victims of digital asset theft. Her reputation arises from successful recoveries that have allowed many to regain their lost funds. I witnessed this when $122,000 was taken from me. Thanks to Ms. Lopez's skills, I recovered the entire amount in just 24 hours. Her prompt response and effective methods relieved my financial burden. Ms. Lopez’s commitment to helping others is evident. She is always available to offer solutions to those facing similar problems. For assistance, she can be reached via email at recoveryfundprovider@gmail . com or contacted directly on WhatsApp and text at +44 - 7366 445035. Her Instagram handle is recoveryfundprovider.
15.02.25 02:51 Michelle Lynn

Living in Los Angeles, I never imagined I’d face such a difficult chapter in my life. At the time, my wife was pregnant, and we were both excited about starting a family. I fell victim to a series of scams, losing over $170,000 in total. Just when I thought things couldn’t get worse, I received a call from someone who promised to help me recover my losses. Desperate to fix the situation, I went along with it, hoping for a breakthrough. But it turned out to be another scam. However, most of the options I found either seemed dubious or offered no real guarantees. That’s when I came across Cyber Constable Intelligence. It was a company recommended in a Facebook community The team worked tirelessly on my case, and after some time, they successfully recovered 99% of my investment. Although I didn’t recover everything, the 99% recovery was a huge relief They also educated me on how to better protect my digital Asset Here's Their Website Info www cyberconstableintelligence com
15.02.25 02:51 Michelle Lynn

Living in Los Angeles, I never imagined I’d face such a difficult chapter in my life. At the time, my wife was pregnant, and we were both excited about starting a family. I fell victim to a series of scams, losing over $170,000 in total. Just when I thought things couldn’t get worse, I received a call from someone who promised to help me recover my losses. Desperate to fix the situation, I went along with it, hoping for a breakthrough. But it turned out to be another scam. However, most of the options I found either seemed dubious or offered no real guarantees. That’s when I came across Cyber Constable Intelligence. It was a company recommended in a Facebook community The team worked tirelessly on my case, and after some time, they successfully recovered 99% of my investment. Although I didn’t recover everything, the 99% recovery was a huge relief They also educated me on how to better protect my digital Asset Here's Their Website Info www cyberconstableintelligence com, WhatsApp Info: 1 (252) 378-7611
16.02.25 01:01 Peter

I fell victim to a crypto scam and lost a significant amount of money. What are the most effective strategies to recover my funds? I've heard about legal actions, contacting authorities, and hiring recovery experts, but I'm not sure where to start. Can you provide some guidance on the best ways to recover money lost in a crypto scam? Well if this is you, [email protected] gat you covered get in touch and thank me later
16.02.25 20:06 eunice49954

Agent Lopez specializes in recovering stolen cryptocurrencies, especially Bitcoin/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.
18.02.25 19:35 donovancristina

Now, I’m that person sharing my success story on LinkedIn, telling others about the amazing team at TECH CYBER FORCE RECOVERY who literally saved my financial life. I’ve also become that guy who proudly shares advice like “Always back up your wallet, and if you don’t have TECH CYBER FORCE RECOVERY on speed dial.” So, a big thank you to TECH CYBER FORCE RECOVERY if I ever get a chance to meet the team, I might just offer to buy them a drink. They’ve earned it. FOR CRYPTO HIRING WEBSITE WWW://techcyberforcerecovery.com WHATSAPP : ⏩ wa.me/15617263697
18.02.25 22:13 keithphillip671

WhatsApp +44,7,4,9,3,5,1,3,3,8,5 Telegram @Franciscohack The day my son uncovered the truth—that the man I entrusted my hopes of wealth and companionship with through a cryptocurrency platform was a cunning scammer was the day my world crumbled. The staggering realization that I had been swindled out of 150,000.00 Euro worth of Bitcoin left me in a state of profound despair. As a 73-year-old grappling with loneliness, I had sought solace in what I believed to be a genuine connection, only to find deceit and betrayal. Countless sleepless nights were spent in tears, mourning not only the financial devastation but also the crushing blow to my trust. Attempts to verify the authenticity of our interactions were met with hostility, further deepening my sense of isolation. Through the loss it was my son who became my beacon of resilience. He took upon himself the arduous task of tracing the scam and seeking justice on my behalf. Through meticulous effort and determination, he unearthed {F R A N C I S C O H A C K}, renowned for their expertise in recovering funds lost to cryptocurrency scams. Entrusting them with screenshots and evidence of the fraudulent transactions, my son initiated the journey to reclaim what had been callously taken from me. {F R A N C I S C O H A C K} approached our plight with empathy and unwavering professionalism, immediately instilling a sense of confidence in their abilities. Despite my initial skepticism, their transparent communication and methodical approach reassured us throughout the recovery process. Regular updates on their progress and insights into their strategies provided much-needed reassurance and kept our hopes alive amid the uncertainty. Their commitment to transparency and client welfare was evident in every interaction, fostering a sense of partnership rather than mere service. Miraculously, in what felt like an eternity but was actually an impressively brief period, {F R A N C I S C O H A C K} delivered the astonishing news—I had recovered the entire 150,000.00 Euro worth of stolen Bitcoin. The flood of relief and disbelief was overwhelming, marking not just the restitution of financial losses but the restoration of my faith in justice. {F R A N C I S C O H A C K} proficiency in navigating the intricate landscape of blockchain technology and online fraud was nothing short of extraordinary. Their dedication to securing justice and restoring client confidence set them apart as more than just experts—they were steadfast allies in a fight against digital deceit. What resonated deeply with me {F R A N C I S C O H A C K} integrity and compassion. Despite the monumental recovery, they maintained transparency regarding their fees and ensured fairness in all dealings. Their proactive guidance on cybersecurity measures further underscored their commitment to safeguarding clients from future threats. It was clear that their mission extended beyond recovery—it encompassed education, prevention, and genuine advocacy for those ensnared by cyber fraud. ([email protected]) fills me with profound gratitude. They not only rescued my financial security but also provided invaluable emotional support during a time of profound vulnerability. To anyone navigating the aftermath of cryptocurrency fraud, I wholeheartedly endorse {F R A N C I S C O H A C K}. They epitomize integrity, expertise, and unwavering dedication to their clients' well-being. My experience with {F R A N C I S C O H A C K} transcended mere recovery—it was a transformative journey of resilience, restoration, and renewed hope in the face of adversity.
21.02.25 07:42 daniel231101

I never thought I would fall victim to a crypto scam until I was convinced of a crypto investment scam that saw me lose all my entire assets worth $487,000 to a crypto investment manager who convinced me I could earn more from my investment. I thought it was all gone for good but I kept looking for ways to get back my stolen crypto assets and finally came across Ethical Hack Recovery, a crypto recovery/spying company that has been very successful in the recovery of crypto for many other victims of crypto scams and people who lost access to their crypto. I’m truly grateful for their help as I was able to recover my stolen crypto assets and get my life back together. I highly recommend their services EMAIL ETHICALHACKERS009 AT @GMAIL DOT COM whatsapp +14106350697
21.02.25 21:38 eunice49954

Jasmine Lopez specializes in recovering stolen cryptocurrencies, especially ETH/USDT. She has built a strong reputation for helping victims reclaim their lost funds. A personal example highlights her effectiveness: I lost $111,000 and, thanks to her prompt action, I recovered it all within 24 hours. Her dedication and skills eased my financial stress. She is always ready to assist others with similar issues. For help, she can be reached by email at Recoveryfundprovider@gmail. com or contact her through WhatsApp at +44 736 644 5035. Her Insta is recoveryfundprovider.