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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 1461–1470 of 1773 papers

TitleStatusHype
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
A Token-level Contrastive Framework for Sign Language TranslationCode0
Consistency by Agreement in Zero-shot Neural Machine TranslationCode0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Modeling Baroque Two-Part Counterpoint with Neural Machine TranslationCode0
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual PerspectiveCode0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
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