Curating datasets, reviewing user-generated content, and liaising with locals — all in a day’s work for a linguist hired by big tech. (No computer science degree or published research required.) Continue reading
To be fair, this is the first-ever multilingual model to win the international machine translation contest. But major tech companies have been exploring multilingual models for years. Continue reading
As the language industry turns to speech-to-speech translation, Facebook AI partners with “AI community” Hugging Face to release speech-to-text translation models for four languages. Continue reading
Zoom call add-ons planned for beta release in September 2021. Transcription available in 30 languages, and translation, in 12, by year-end 2022. Continue reading
How DeepL outmaneuvered big tech, won a following, and is now rapidly moving into machine translation as a managed service for enterprise customers. Continue reading
Facebook sees textless natural language processing (NLP) as rendering automatic speech translation (ASR) obsolete by working in true end-to-end fashion: from speech input to speech output. Continue reading
As Facebook and Google pour their own money into research on speech translation, investors outside the language industry turn their attention to multilingual voice assistants. Continue reading
New paper by Facebook, Amazon, Twitter, and University of Melbourne examines vulnerability of systems using back translation to attacks on monolingual training data. Continue reading
Facebook, Naver, and George Mason University release open-sourced metric based on Covid-19 terms; hope to bridge gap between academia and industry. Continue reading
Developers praise PyTorch, Facebook’s open source framework, for its flexibility, speed, and usability. But the machine translation world is not ready to dethrone TensorFlow just yet. Continue reading
After promising results in English, researchers hope Multilingual LibriSpeech’s 50,000 hours of audio across eight languages will improve automatic speech recognition around the world. Continue reading
In the November 2020 edition of our buyer tracker, we provide SlatorPro subscribers with a selection of some of the most important changes among buy-side decision-makers. Continue reading
The new machine translation model, trained on 2,200 language directions, builds on Facebook’s past research on parallel sentences not aligned with English. Continue reading
US and Chinese tech giants continue to churn out research on speech-to-text translation, machine translation for rare languages, and more. Time to check in. Continue reading
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