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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

Showing 16311640 of 1773 papers

TitleStatusHype
Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make ItCode0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
Neural Machine Translation for English-TamilCode0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
Prose2Poem: The Blessing of Transformers in Translating Prose to Persian PoetryCode0
Towards Making the Most of BERT in Neural Machine TranslationCode0
Neural Machine Translation For Low Resource LanguagesCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
code2seq: Generating Sequences from Structured Representations of CodeCode0
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