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 541–550 of 1773 papers

TitleStatusHype
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
EduMT: Developing Machine Translation System for Educational Content in Indian Languages—0
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT—0
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training—0
Echo State Neural Machine Translation—0
Calibration of Encoder Decoder Models for Neural Machine Translation—0
Show:102550
← PrevPage 55 of 178Next →

No leaderboard results yet.