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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 901–925 of 1773 papers

TitleStatusHype
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation—0
ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks—0
Passing Parser Uncertainty to the Transformer. Labeled Dependency Distributions for Neural Machine Translation.—0
Patching Leaks in the Charformer for Generative Tasks—0
Patent NMT integrated with Large Vocabulary Phrase Translation by SMT at WAT 2017—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
Phrase-level Active Learning for Neural Machine Translation—0
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation—0
PhraseOut: A Code Mixed Data Augmentation Method for MultilingualNeural Machine Tranlsation—0
Phrase Table as Recommendation Memory for Neural Machine Translation—0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation—0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
PosEdiOn: Post-Editing Assessment in PythOn—0
POS-Tagging based Neural Machine Translation System for European Languages using Transformers—0
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain—0
Practical Neural Machine Translation—0
Predicting Human Translation Difficulty with Neural Machine Translation—0
Predicting Target Language CCG Supertags Improves Neural Machine Translation—0
Prediction Difference Regularization against Perturbation for Neural Machine Translation—0
Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation—0
Pretrained Language Models for Document-Level Neural Machine Translation—0
Pre-training Methods for Neural Machine Translation—0
Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation—0
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation—0
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