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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 661–670 of 1773 papers

TitleStatusHype
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework—0
Multilingual Multi-Domain NMT for Indian Languages—0
Transformer with Syntactic Position Encoding for Machine Translation—0
Secoco: Self-Correcting Encoding for Neural Machine Translation—0
YANMTT: Yet Another Neural Machine Translation Toolkit—0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
The paradox of the compositionality of natural language: a neural machine translation case studyCode0
Icelandic Parallel Abstracts Corpus—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
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