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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 276–300 of 1773 papers

TitleStatusHype
Contrastive Word Embedding Learning for Neural Machine Translation—0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?—0
Benchmarking Azerbaijani Neural Machine Translation—0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario—0
Being Generous with Sub-Words towards Small NMT Children—0
Beam Search Strategies for Neural Machine Translation—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
Examining Structure of Word Embeddings with PCA—0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Ancient-Modern Chinese Translation with a Large Training Dataset—0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems—0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
An Analysis of Source-Side Grammatical Errors in NMT—0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
A User Study of the Incremental Learning in NMT—0
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