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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

Showing 771780 of 1773 papers

TitleStatusHype
Efforts Towards Developing a Tamang Nepali Machine Translation System0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 20200
Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task0
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation0
Punjabi to English Bidirectional NMT System0
Identifying Complaints from Product Reviews: A Case Study on HindiCode0
PhraseOut: A Code Mixed Data Augmentation Method for MultilingualNeural Machine Tranlsation0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages0
Bridging Philippine Languages With Multilingual Neural Machine Translation0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 20200
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