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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 401–425 of 1773 papers

TitleStatusHype
Deep Neural Machine Translation with Linear Associative Unit—0
Better OOV Translation with Bilingual Terminology Mining—0
An Empirical Study of Document-to-document Neural Machine Translation—0
DeepSumm -- Deep Code Summaries using Neural Transformer Architecture—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Content Word Aware Neural Machine Translation—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
Dependency-Based Relative Positional Encoding for Transformer NMT—0
Dependency-Based Self-Attention for Transformer NMT—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Detecting Untranslated Content for Neural Machine Translation—0
A Transformer-Based Multi-Source Automatic Post-Editing System—0
Developing neural machine translation models for Hungarian-English—0
DFKI-NMT Submission to the WMT19 News Translation Task—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Adaptive Bridge between Training and Inference for Dialogue Generation—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
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