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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 341–350 of 1773 papers

TitleStatusHype
Machine Translation of 16Th Century Letters from Latin to German—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages—0
Priming Ancient Korean Neural Machine Translation—0
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources—0
Introducing EM-FT for Manipuri-English Neural Machine Translation—0
Bicleaner AI: Bicleaner Goes NeuralCode1
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation—0
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text—0
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