Addressing the Rare Word Problem in Neural Machine Translation

IJCNLP 2015 Minh-Thang LuongIlya SutskeverQuoc V. LeOriol VinyalsWojciech Zaremba

Neural Machine Translation (NMT) is a new approach to machine translation that has shown promising results that are comparable to traditional approaches. A significant weakness in conventional NMT systems is their inability to correctly translate very rare words: end-to-end NMTs tend to have relatively small vocabularies with a single unk symbol that represents every possible out-of-vocabulary (OOV) word... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Machine Translation WMT2014 English-French LSTM6 + PosUnk BLEU score 37.5 # 20