Addressing the Rare Word Problem in Neural Machine Translation — mentioned by jkrause314

Tue, 17 May 2016 18:03:58 GMT

Clickbait. This is a patent on a very particular form of translation model that handles rare words, i.e. this paper that all the authors are on: http://arxiv.org/abs/1410.8206

Paper and discussion history. A mention is not an endorsement.

Addressing the Rare Word Problem in Neural Machine Translation — mentioned by ogrisel

Thu, 15 Jan 2015 09:01:51 GMT

New neural machine translation architectures are experimenting with pairs of neural encoders / decoders, one pair for each language and a shared language independent vector space for the meaning of all words: http://arxiv.org/abs/1406.1078 http://arxiv.org/abs/1409.3215 http://arxiv.org/abs/1410.8206 So the total number of models is still linear with the number of languages. I do not know whether this new generation of translation models is leveraged by the google translation app though. Also pairs of languages for which their are big amount of parallel training data will still be favored.

Paper and discussion history. A mention is not an endorsement.

Addressing the Rare Word Problem in Neural Machine Translation · HackerPapers discussions

Addressing the Rare Word Problem in Neural Machine Translation — mentioned by jkrause314

Addressing the Rare Word Problem in Neural Machine Translation — mentioned by ogrisel