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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 626–650 of 1773 papers

TitleStatusHype
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation—0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
DFKI-NMT Submission to the WMT19 News Translation Task—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter—0
A Deep Learning Based Approach to Transliteration—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
Developing neural machine translation models for Hungarian-English—0
Detecting Untranslated Content for Neural Machine Translation—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
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