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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 651–660 of 1773 papers

TitleStatusHype
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Fixing exposure bias with imitation learning needs powerful oracles—0
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT—0
Low Resource Multimodal Neural Machine Translation of English-Hindi in News Domain—0
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework—0
Multilingual Multi-Domain NMT for Indian Languages—0
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