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 101–110 of 1773 papers

TitleStatusHype
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
General2Specialized LLMs Translation for E-commerce—0
Human Evaluation of English--Irish Transformer-Based NMT—0
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation—0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Asynchronous and Segmented Bidirectional Encoding for NMT—0
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?—0
Show:102550
← PrevPage 11 of 178Next →

No leaderboard results yet.