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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 801–825 of 1773 papers

TitleStatusHype
Improved English to Russian Translation by Neural Suffix Prediction—0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Investigating Multilingual NMT Representations at Scale—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?—0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
Corpora for Document-Level Neural Machine Translation—0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model—0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation—0
Illinois Japanese English News Translation for WMT 2021—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary—0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019—0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
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