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Google wants language translation to sound more natural. Last year, it began moving away from phrase-based machine translation and created an AI-powered system called Google Neural Machine Translation ...

MAIDENHEAD, England--(BUSINESS WIRE)--RWS, a content solutions company, powered by technology and human expertise, today announced that its Language Weaver solution has been selected as winner of the ...

A team of computer scientists at Johns Hopkins University has won a $10.7 million grant from the Office of the Director of National Intelligence to create an information retrieval and translation ...

What do you do after you have collected writing samples for a thousand languages for the purpose of translation, and humans still rate the resulting translations a fail? Examine the failures, ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

Meta, owner of Facebook, Instagram and WhatsApp, on Wednesday unveiled its latest effort in machine translation, a 190-page opus describing how it has used deep learning forms of neural nets to double ...

Translating from one language to another is hard, and creating a system that does it automatically is a major challenge, partly because there are just so many words, phrases and rules to deal with.

The problem of a total absence of parallel data is present for a large number of language pairs and can severely detriment the quality of machine translation. We describe a language-independent method ...

The translation features typically used in Phrase-Based Statistical Machine Translation (PB-SMT) model dependencies between the source and target phrases, but not among the phrases in the source ...