A new study finds that cascaded speech translation systems still deliver better results than speechLLMs, except in a narrow ...

Request access for CSL-Daily from the authors of "Improving Sign Language Translation with Monolingual Data by Sign Back-Translation" (Zhou et al.) and add it to folder named csldaily. Create the tsv ...

TL;DR: BitMar uses AI to gather and filter millions of free movies, shows, channels, videos, and songs across the web — and ...

Abstract: Machine translation (MT) for low-resource languages continues to face significant challenges because of limited digital resources and parallel corpora, despite remarkable developments in ...

Google is offering real-time translation via the Translate app powered by Gemini for all headphones. Yes, the Pixel-exclusive feature is being extended to all devices and platforms that support the AI ...

UniNMT In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach ...

Looking ahead: Live translation is shaping up to be one of the most practical (and competitive) uses of generative AI, with real-life implications for how people communicate across languages. A new ...

Hear real-time translation in your headphones with Translate. The feature supports more than 70 languages. Android users can try it now, with iOS support coming next year. If you find yourself in a ...

Google has increasingly moved toward keeping features locked to its hardware products, but the Translate app is bucking that trend. The live translate feature is breaking out of the Google bubble with ...

How do you teach somebody to read a language if there’s nothing for them to read? This is the problem facing developers across the African continent who are trying to train AI to understand and ...

Abstract: In this paper, we propose a novel translation model, UniTranslator, for transforming representations between visually distinct domains under conditions of limited training data and ...