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 791–800 of 1773 papers

TitleStatusHype
Corpora for Document-Level Neural Machine Translation—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation—0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
Illinois Japanese English News Translation for WMT 2021—0
Introducing EM-FT for Manipuri-English Neural Machine Translation—0
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources—0
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
Show:102550
← PrevPage 80 of 178Next →

No leaderboard results yet.