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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 1401–1425 of 1773 papers

TitleStatusHype
Our Neural Machine Translation Systems for WAT 2019—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
Parallel Attention Forcing for Machine Translation—0
Parallel Corpus Filtering Based on Fuzzy String Matching—0
Parallel sentences mining with transfer learning in an unsupervised setting—0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts—0
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
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