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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 1701–1750 of 1773 papers

TitleStatusHype
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English—0
Joint Prediction of Word Alignment with Alignment Types—0
Fast Domain Adaptation for Neural Machine Translation—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Neural Machine Translation from Simplified Translations—0
Domain Control for Neural Machine Translation—0
Boosting Neural Machine Translation—0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices—0
QCRI’s Machine Translation Systems for IWSLT’16—0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
Multilingual Disfluency Removal using NMT—0
Factored Neural Machine Translation Architectures—0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
UFAL Submissions to the IWSLT 2016 MT Track—0
Kyoto-NMT: a Neural Machine Translation implementation in ChainerCode0
Topic-Informed Neural Machine Translation—0
Ensemble Learning for Multi-Source Neural Machine Translation—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
A Character-Aware Encoder for Neural Machine Translation—0
Residual Stacking of RNNs for Neural Machine Translation—0
Faster and Lighter Phrase-based Machine Translation Baseline—0
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation—0
A study of attention-based neural machine translation model on Indian languages—0
Neural Clinical Paraphrase Generation with Attention—0
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder—0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Neural Machine Translation with ReconstructionCode0
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration—0
Dual Learning for Machine TranslationCode0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016—0
SYSTRAN's Pure Neural Machine Translation Systems—0
Pre-Translation for Neural Machine Translation—0
Interactive Attention for Neural Machine Translation—0
Neural Machine Translation Advised by Statistical Machine Translation—0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
Learning to Translate in Real-time with Neural Machine TranslationCode0
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation—0
One Sentence One Model for Neural Machine Translation—0
Factored Neural Machine Translation—0
Neural Machine Translation with Supervised Attention—0
Multimodal Attention for Neural Machine Translation—0
Context Gates for Neural Machine TranslationCode0
Neural versus Phrase-Based Machine Translation Quality: a Case Study—0
Temporal Attention Model for Neural Machine Translation—0
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