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 931–940 of 1773 papers

TitleStatusHype
Producing Standard German Subtitles for Swiss German TV Content—0
Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text—0
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation—0
Promoting Target Data in Context-aware Neural Machine Translation—0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
Prompting Neural Machine Translation with Translation Memories—0
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model—0
Pseudo-Label Training and Model Inertia in Neural Machine Translation—0
Punjabi to English Bidirectional NMT System—0
PyMarian: Fast Neural Machine Translation and Evaluation in Python—0
Show:102550
← PrevPage 94 of 178Next →

No leaderboard results yet.