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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 221–230 of 1773 papers

TitleStatusHype
Learning Homographic Disambiguation Representation for Neural Machine Translation—0
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
KÚ <MASK>: Integrating Yorùbá cultural greetings into machine translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning—0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Targeted Adversarial Attacks against Neural Machine TranslationCode0
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation—0
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