Meta Challenges Whisper with ‘Massively Multilingual Speech’ Launch
Meta says its new system, which offers text-to-speech and speech-to-text for more than 1,100 languages, has half the word error rate of Whisper. Critics say, Apples and oranges.
Language Industry (Artificial) Intelligence — Slator Answers
Meta says its new system, which offers text-to-speech and speech-to-text for more than 1,100 languages, has half the word error rate of Whisper. Critics say, Apples and oranges.
In just three months, universities and tech companies released over two dozen papers on speech-to-speech translation (S2ST), highlighting continuing trends, new directions in research.
Meta has released SpeechMatrix, a large-scale mined corpus of multilingual speech-to-speech translations.
Researchers from Meta suggest training-data curation as a means to reduce added toxicity in machine translation. Toxicity categories include profanity, insults, hate speech, bullying, etc.
Open-sourcing large language models is catching on among tech giants, such as Google and Meta. Now comes BLOOM, whose 1,000 contributors designed it with multilingualism in mind.
The new model, praised by Meta founder and CEO Mark Zuckerberg, is already being used to improve more than 25 billion translations daily on Facebook, Instagram, and other apps.
Meta eliminates text generation in speech to speech translation; shares code and research with the public.
Large pretrained language models (PLMs) memorize lots of personal data. Researchers examine data privacy risks associated with PLMs, propose solutions.
Social media giant Meta proposes new metric to enable more consistency in human evaluation of machine translation; addresses big challenge in translation QA for low-resource language pairs.
Among the many things cooking at Meta: downloadable language packs for Android and iOS users to enjoy download-on-demand translation.
Meta AI wants to make large language models more accessible to researchers with the release of OPT-175B; advocates R&D transparency and a “research mindset.”
Meta’s VP of Internationalization, Iris Orriss, joins SlatorPod to talk about language operations at Meta, pioneering new localization approaches, and the future of the Metaverse.
While translators have long been able to work outside the traditional office, what do language service providers think about trading their remote work setups for virtual workplaces?
Part of the billions of dollars going into the Metaverse will undoubtedly go into these two areas of machine translation. Meta AI reveals its MT roadmap and the people working on it.
Key highlights from Slator’s 2022 Language Service Provider Index, NeuralSpace’s USD 1.7m seed round, and Meta’s language and MT plans.
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