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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 451–475 of 1773 papers

TitleStatusHype
Enhanced Neural Machine Translation by Learning from DraftCode0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationCode0
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out TrainingCode0
Stanford Neural Machine Translation Systems for Spoken Language DomainsCode0
Domain Robustness in Neural Machine TranslationCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual PerspectiveCode0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin ChineseCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Dual Learning for Machine TranslationCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine TranslationCode0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Character-level Chinese-English Translation through ASCII EncodingCode0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
The Unreasonable Volatility of Neural Machine Translation ModelsCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
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