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 751–775 of 1773 papers

TitleStatusHype
Exploring Pair-Wise NMT for Indian Languages—0
Rewriter-Evaluator Architecture for Neural Machine Translation—0
Document Graph for Neural Machine Translation—0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
The University of Tokyo’s Submissions to the WAT 2020 Shared Task—0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
NICT‘s Submission To WAT 2020: How Effective Are Simple Many-To-Many Neural Machine Translation Models?—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario—0
Improving NMT via Filtered Back Translation—0
Multimodal Neural Machine Translation for English to Hindi—0
Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020—0
Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
Neural Machine Translation for translating into Croatian and Serbian—0
Comparison of the effects of attention mechanism on translation tasks of different lengths of ambiguous words—0
NLPRL Odia-English: Indic Language Neural Machine Translation System—0
Korean-to-Japanese Neural Machine Translation System using Hanja Information—0
WT: Wipro AI Submissions to the WAT 2020—0
A Review of Discourse-level Machine Translation—0
Efforts Towards Developing a Tamang Nepali Machine Translation System—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 2020—0
PhraseOut: A Code Mixed Data Augmentation Method for MultilingualNeural Machine Tranlsation—0
Identifying Complaints from Product Reviews: A Case Study on HindiCode0
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation—0
Show:102550
← PrevPage 31 of 71Next →

No leaderboard results yet.