Machine translation has made huge strides in the past few decades, thanks in large part to the introduction of neural networks that are trained on large data sets. Training data abound for major ...

The SEAMLESS authors devised an AI model that uses a neural-network approach to translate ... Read the paper: Joint speech and text machine translation for up to 100 languages One of the SEAMLESS ...

Machine translation has made strides in the past few years thanks to large language models. These models, which power popular chatbots like ChatGPT and Claude, learn language by training on massive ...

Leveraging neural machine translation, it offers precise and natural localizations, ensuring high-quality translations that overcome language barriers efficiently. Wordvice AI stands out for its ...

The Sapienza NLP group and Apple collaborate on a shared task to tackle named entity challenges in machine translation and large language models and invite submissions. Microsoft researchers show how ...

Dataset of diverse typological language properties compiled and released alongside my Master's Thesis "Explaining Machine Translation Difficulty in the Age of Massively Multilingual Models: A Study of ...

Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.