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

Showing 131140 of 1773 papers

TitleStatusHype
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
TasTe: Teaching Large Language Models to Translate through Self-ReflectionCode1
Show:102550
← PrevPage 14 of 178Next →

No leaderboard results yet.