Six Challenges for Neural Machine Translation

06/12/2017 ∙ by Philipp Koehn, et al. ∙ 0

We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 3

page 5

Code Repositories

nlp_tasks

Natural Language Processing Tasks and References


view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.