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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
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems—0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
Developing neural machine translation models for Hungarian-English—0
Joint Prediction of Word Alignment with Alignment Types—0
Joint Training for Neural Machine Translation Models with Monolingual Data—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
Learning Distributional Token Representations from Visual Features—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
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Kyoto University MT System Description for IWSLT 2017—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models—0
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021—0
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