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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 826–850 of 1773 papers

TitleStatusHype
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary—0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus—0
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models—0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task—0
Key-value Attention Mechanism for Neural Machine Translation—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
KIT’s Multilingual Neural Machine Translation systems for IWSLT 2017—0
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Korean-to-Japanese Neural Machine Translation System using Hanja Information—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
Kyoto University MT System Description for IWSLT 2017—0
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
Controlling the Output Length of Neural Machine Translation—0
A User Study of the Incremental Learning in NMT—0
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