(C) WIPO 2016 - neural translation Chinese exampleWIPO Translate: Smart Tool for Patent Documents

November 2016. WIPO Translate now incorporates cutting-edge neural machine translation technology to render highly technical patent documents into a second language in a style and syntax that more closely mirrors common usage, out-performing other translation tools built on previous technologies. Neural machine translation is an emerging technology. It is based on huge neural network models that “learn” from previously translated sentences. The specificity of neural machine translation (compared to previous “phrase based” statistical methods) is that it produces more natural word order, with particular improvements seen in so-called distant language pairs, like Japanese-English or Chinese-English.

WIPO has initially “trained” the new technology to translate Chinese, Japanese and Korean patent documents into English. Patent applications in those languages accounted for some 55% of worldwide filings in 2014. Users can already try out the Chinese-English translation facility on the public beta test platform. The high level of accuracy of the Chinese-English translation is the result of the training of the neural machine translation tool, which compared 60 million sentences from Chinese patent documents provided to WIPO’s PATENTSCOPE database by the State Intellectual Property Office of the People’s Republic of China with their translations as filed at the United States Patent and Trademark Office.

WIPO plans to extend the neural machine translation service to French-language patent applications, with other languages to follow.

Source: WIPO 

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