SOTAVerified

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 13511400 of 1773 papers

TitleStatusHype
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task0
Improved Neural Machine Translation using Side Information0
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation0
A Hierarchical Neural Network for Sequence-to-Sequences Learning0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Neural Machine Translation with Adequacy-Oriented Learning0
Towards Neural Machine Translation for African LanguagesCode0
Data Selection with Feature Decay Algorithms Using an Approximated Target Side0
Off-the-Shelf Unsupervised NMT0
Transfer Learning in Multilingual Neural Machine Translation with Dynamic VocabularyCode1
Identifying and Controlling Important Neurons in Neural Machine Translation0
Improving the Robustness of Speech Translation0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation0
A Master-Apprentice Approach to Automatic Creation of Culturally Satirical Movie Titles0
Towards Linear Time Neural Machine Translation with Capsule Networks0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages0
Hybrid Self-Attention Network for Machine Translation0
Language-Independent Representor for Neural Machine Translation0
Multilingual NMT with a language-independent attention bridgeCode0
You May Not Need AttentionCode1
Hallucinations in neural machine translation0
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task0
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation0
Exploiting Deep Representations for Neural Machine Translation0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation0
Identifying and Controlling Important Neurons in Neural Machine Translation0
Optimizing Segmentation Granularity for Neural Machine Translation0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation0
Multi-Source Neural Machine Translation with Data Augmentation0
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding0
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Learning to Segment Inputs for NMT Favors Character-Level Processing0
Using Spoken Word Posterior Features in Neural Machine Translation0
Neural Speech Translation at AppTek0
Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 20180
Word Rewarding for Adequate Neural Machine Translation0
The Sogou-TIIC Speech Translation System for IWSLT 20180
Multi-paraphrase Augmentation to Leverage Neural Caption Translation0
A Pronoun Test Suite Evaluation of the English--German MT Systems at WMT 20180
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments0
Multi-encoder Transformer Network for Automatic Post-Editing0
CUNI Transformer Neural MT System for WMT180
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation0
Multi-source transformer with combined losses for automatic post editing0
Tilde's Machine Translation Systems for WMT 2018Code0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 20180
A Transformer-Based Multi-Source Automatic Post-Editing System0
Show:102550
← PrevPage 28 of 36Next →

No leaderboard results yet.