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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 1591–1600 of 1773 papers

TitleStatusHype
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
Sentiment-based Candidate Selection for NMTCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Sentiment-based Candidate Selection for NMTCode0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Incorporating Discrete Translation Lexicons into Neural Machine TranslationCode0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Do GPTs Produce Less Literal Translations?Code0
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