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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

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Showing 1176–1200 of 1773 papers

TitleStatusHype
Multi-agent Learning for Neural Machine Translation—0
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Improving Context-aware Neural Machine Translation with Target-side Context—0
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Dependency-Based Self-Attention for Transformer NMT—0
Dependency-Based Relative Positional Encoding for Transformer NMT—0
Human Evaluation of Neural Machine Translation: The Case of Deep Learning—0
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
Comparing MT Approaches for Text Normalization—0
Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Towards Understanding Neural Machine Translation with Word Importance—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Regularized Context Gates on Transformer for Machine Translation—0
On NMT Search Errors and Model Errors: Cat Got Your Tongue?—0
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation—0
Multilingual Neural Machine Translation with Language Clustering—0
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