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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 821–830 of 1773 papers

TitleStatusHype
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
Japanese Predicate Conjugation for Neural Machine Translation—0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019—0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)—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
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation—0
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