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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 15761600 of 1773 papers

TitleStatusHype
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Pluggable Neural Machine Translation Models via Memory-augmented AdaptersCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial NetsCode0
ViNMT: Neural Machine Translation ToolkitCode0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence TransformersCode0
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine TranslationCode0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMTCode0
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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