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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 326–350 of 1773 papers

TitleStatusHype
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Context-aware Neural Machine Translation for English-Japanese Business Scene DialoguesCode0
Context-aware Neural Machine Translation with Mini-batch EmbeddingCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
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