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 31–40 of 1773 papers

TitleStatusHype
Domain adapted machine translation: What does catastrophic forgetting forget and why?—0
Reconsidering SMT Over NMT for Closely Related Languages: A Case Study of Persian-Hindi Pair—0
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray—0
ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks—0
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Show:102550
← PrevPage 4 of 178Next →

No leaderboard results yet.