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 1241–1250 of 1773 papers

TitleStatusHype
Multi-encoder Transformer Network for Automatic Post-Editing—0
Multi-Granularity Self-Attention for Neural Machine Translation—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Multilingual Disfluency Removal using NMT—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT—0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation—0
Multilingual Multi-Domain NMT for Indian Languages—0
Multilingual Multi-modal Embeddings for Natural Language Processing—0
Show:102550
← PrevPage 125 of 178Next →

No leaderboard results yet.