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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 1251–1300 of 1773 papers

TitleStatusHype
Multilingual Neural Machine Translation involving Indian Languages—0
Multilingual Neural Machine Translation—0
Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help?—0
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?—0
Multilingual Neural Machine Translation with Task-Specific Attention—0
Multilingual Neural Machine Translation With the Right Amount of Sharing—0
Multilingual Neural Machine Translation with Language Clustering—0
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain—0
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders—0
Multimodal Attention for Neural Machine Translation—0
Multimodal Neural Machine Translation for English to Hindi—0
Multimodal Neural Machine Translation with Search Engine Based Image Retrieval—0
Multi-paraphrase Augmentation to Leverage Neural Caption Translation—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality—0
Multi-Source Neural Machine Translation with Missing Data—0
Multi-Source Neural Machine Translation with Data Augmentation—0
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation—0
Multi-source transformer with combined losses for automatic post editing—0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
Multi-task Learning for Multilingual Neural Machine Translation—0
Multi-Task Neural Model for Agglutinative Language Translation—0
MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)—0
MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch—0
Multiword Expression aware Neural Machine Translation—0
MuST-Cinema: a Speech-to-Subtitles corpus—0
NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task—0
Named Entity-Factored Transformer for Proper Noun Translation—0
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
Natural Language Response Generation from SQL with Generalization and Back-translation—0
Nearest Neighbor Knowledge Distillation for Neural Machine Translation—0
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation—0
NECTEC’s Participation in WAT-2021—0
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints—0
Neural Automatic Post-Editing Using Prior Alignment and Reranking—0
Neural Clinical Paraphrase Generation with Attention—0
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation—0
Neural Hidden Markov Model for Machine Translation—0
Neural Lattice Search for Domain Adaptation in Machine Translation—0
Neural Machine Translation Advised by Statistical Machine Translation—0
Neural Machine Translation: A Review of Methods, Resources, and Tools—0
Neural Machine Translation: Basics, Practical Aspects and Recent Trends—0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Neural Machine Translation between similar South-Slavic languages—0
Neural Machine Translation by Generating Multiple Linguistic Factors—0
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices—0
Neural Machine Translation Decoding with Terminology Constraints—0
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