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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 1601–1650 of 1773 papers

TitleStatusHype
SMT reranked NMT—0
CUNI NMT System for WAT 2017 Translation Tasks—0
Comparison of SMT and NMT trained with large Patent Corpora: Japio at WAT2017—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Evaluating Discourse Phenomena in Neural Machine Translation—0
Unsupervised Neural Machine TranslationCode0
Paying Attention to Multi-Word Expressions in Neural Machine TranslationCode0
The IIT Bombay English-Hindi Parallel Corpus—0
Enhanced Neural Machine Translation by Learning from DraftCode0
Dynamic Oracle for Neural Machine Translation in Decoding Phase—0
Toward a full-scale neural machine translation in production: the Booking.com use case—0
OpenNMT: Open-source Toolkit for Neural Machine Translation—0
Refining Source Representations with Relation Networks for Neural Machine Translation—0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model—0
Comparative Evaluation of NMT with Established SMT Programs—0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators—0
Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data—0
A New Methodology to Maximize the Strength of SMT and NMT—0
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing—0
University of Rochester WMT 2017 NMT System Submission—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
Towards Decoding as Continuous Optimisation in Neural Machine Translation—0
Neural Machine Translation with Source Dependency Representation—0
Towards Compact and Fast Neural Machine Translation Using a Combined Method—0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Look-ahead Attention for Generation in Neural Machine Translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Handling Homographs in Neural Machine Translation—0
The Helsinki Neural Machine Translation SystemCode0
Neural machine translation for low-resource languages—0
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search—0
Translating Phrases in Neural Machine Translation—0
Memory-augmented Neural Machine Translation—0
Neural Machine Translation with Word Predictions—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
Dynamic Data Selection for Neural Machine TranslationCode0
Analyzing Neural MT Search and Model Performance—0
Detecting Untranslated Content for Neural Machine Translation—0
Regularization techniques for fine-tuning in neural machine translation—0
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English—0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Learning Language Representations for Typology PredictionCode0
Machine Translation at Booking.com: Journey and Lessons Learned—0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
Modeling Target-Side Inflection in Neural Machine Translation—0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
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