SOTAVerified

NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1471–1480 of 1773 papers

TitleStatusHype
code2seq: Generating Sequences from Structured Representations of CodeCode0
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model—0
Neural Machine Translation Incorporating Named Entity—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
Low-Latency Neural Speech Translation—0
Adaptive Weighting for Neural Machine TranslationCode0
Neural Machine Translation with Decoding History Enhanced Attention—0
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features—0
Tailoring Neural Architectures for Translating from Morphologically Rich Languages—0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings—0
Show:102550
← PrevPage 148 of 178Next →

No leaderboard results yet.