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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 1201–1250 of 1773 papers

TitleStatusHype
Improving Context-aware Neural Machine Translation with Target-side Context—0
Human Evaluation of Neural Machine Translation: The Case of Deep Learning—0
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—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
Towards Understanding Neural Machine Translation with Word Importance—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English—0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation—0
Dependency-Based Relative Positional Encoding for Transformer NMT—0
Dependency-Based Self-Attention for Transformer NMT—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
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
Reference Network for Neural Machine Translation—0
Controllable Dual Skew Divergence Loss for Neural Machine Translation—0
Improving Neural Machine Translation with Pre-trained Representation—0
Recurrent Graph Syntax Encoder for Neural Machine Translation—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
The Transference Architecture for Automatic Post-Editing—0
Towards Making the Most of BERT in Neural Machine TranslationCode0
Adabot: Fault-Tolerant Java Decompiler—0
UdS Submission for the WMT 19 Automatic Post-Editing Task—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
Exploring the Robustness of NMT Systems to Nonsensical Inputs—0
Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions—0
Neural Machine Translation: Hindi-Nepali—0
When a `sport' is a person and other issues for NMT of novels—0
Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach—0
LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs—0
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task—0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task—0
Parallel Corpus Filtering Based on Fuzzy String Matching—0
NICT's Supervised Neural Machine Translation Systems for the WMT19 Translation Robustness Task—0
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task—0
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—0
Incorporating Source Syntax into Transformer-Based Neural Machine Translation—0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
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