Through the progress made in a sentence-level neural machine translation (NMT), a context-aware NMT has rapidly been developed to exploit previous sentences as context. Recent work on the ...

This paper presents an in-depth description of the features of the open-source CMU-EBMT example-based machine translation system. CMU-EBMT is a complete end-to-end system including lexicon induction, ...

Teaching machines to truly understand natural language has been one of the biggest challenges facing computer scientists working to advance artificial intelligence. But Google has made real progress ...

Researchers at Facebook have developed a quicker and more accurate way of translating languages using artificial intelligence. They claim that the new approach can also help computers to translate ...

The availability of machine-readable bilingual linguistic resources is crucial not only for rule-based machine translation but also for other applications such as cross-lingual information retrieval.

is a Senior Producer on Decoder. Previously, he reported on the technology and gaming industries for more than a decade. Google is one of the leading providers of artificial intelligence-assisted ...

Google Translate is getting brainier. The online translation tool recently started using a neural network to translate between some of its most popular languages – and the system is now so clever it ...