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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 1501–1510 of 1773 papers

TitleStatusHype
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
HFT: High Frequency Tokens for Low-Resource NMTCode0
Synthetic and Natural Noise Both Break Neural Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Monolingual Embeddings for Low Resourced Neural Machine TranslationCode0
OpenKiwi: An Open Source Framework for Quality EstimationCode0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Morphological and Language-Agnostic Word Segmentation for NMTCode0
Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource LanguagesCode0
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
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