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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 561–570 of 1773 papers

TitleStatusHype
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
On Multi-Modal Learning of Editing Source CodeCode1
The paradox of the compositionality of natural language: a neural machine translation case studyCode0
Icelandic Parallel Abstracts Corpus—0
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine TranslationCode1
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks—0
The USYD-JD Speech Translation System for IWSLT2021—0
ZJU’s IWSLT 2021 Speech Translation System—0
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