What are some pre-trained transformer models used for machine translation?

May 11, 2022 ... Posted by Isaac Caswell and Ankur Bapna, Research Scientists, Google Translate Machine translation (MT) technology has made significant ... In the MT-NLP Lab at LTRC, IIIT-H, work is undertaken in many different sub-areas of NLP including syntax and parsing, semantics and word sense disambiguation, ... Abstract: Machine translation is the process of using computers to convert one natural language into another natural language, shouldering the important ... FLORES-101 is a Many-to-Many multilingual translation benchmark dataset for 101 languages. Facebook, GitHub. thai_usembassy, This dataset collect all Thai & ... Neural Machine Translation (NMT) systems ... I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages. Pioneering breakthrough research and development for automatic speech recognition (ASR), neural machine translation (NMT), natural language processing and ... Machine translation is the task of translating a sentence in a source language to a different target language. Results with a * indicate that the mean test ... May 31, 2022 ... NLP offers the utility of Machine Translation, wherein a source language is converted to a target language automatically with significant accuracy. Recent advancements in neural machine translation (NMT) offer promising potential for generating cross-language clinical natural language processing (NLP) ... Natural Language Processing (NLP) refers to using artificial intelligence techniques to automatically translate text or speech from one natural language to ...