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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 15511575 of 1773 papers

TitleStatusHype
Data Weighted Training Strategies for Grammatical Error Correction0
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding0
Debiasing Word Embeddings Improves Multimodal Machine Translation0
Decoding and Diversity in Machine Translation0
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation0
Decoding with Value Networks for Neural Machine Translation0
Deep Neural Machine Translation with Linear Associative Unit0
DeepSumm -- Deep Code Summaries using Neural Transformer Architecture0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection0
Dependency-Based Relative Positional Encoding for Transformer NMT0
Dependency-Based Self-Attention for Transformer NMT0
Detecting Untranslated Content for Neural Machine Translation0
Developing neural machine translation models for Hungarian-English0
DFKI-NMT Submission to the WMT19 News Translation Task0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages0
Differences between SMT and NMT Output - a Translators' Point of View0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution0
Direct Neural Machine Translation with Task-level Mixture of Experts models0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation0
DiscreTalk: Text-to-Speech as a Machine Translation Problem0
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