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 511–520 of 1773 papers

TitleStatusHype
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Encoding Gated Translation Memory into Neural Machine Translation—0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Categorizing Semantic Representations for Neural Machine Translation—0
Are BLEU and Meaning Representation in Opposition?—0
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Are BLEU and Meaning Representation in Opposition?—0
Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC—0
Show:102550
← PrevPage 52 of 178Next →

No leaderboard results yet.