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 381–390 of 1773 papers

TitleStatusHype
Adaptive Bridge between Training and Inference for Dialogue Generation—0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
Data augmentation using back-translation for context-aware neural machine translation—0
Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
Data Scaling Laws in NMT: The Effect of Noise and Architecture—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Show:102550
← PrevPage 39 of 178Next →

No leaderboard results yet.