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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 1251–1300 of 1773 papers

TitleStatusHype
Translating Terminologies: A Comparative Examination of NMT and PBSMT Systems—0
Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task—0
SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation—0
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task—0
DFKI-NMT Submission to the WMT19 News Translation Task—0
Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan—0
Tilde's Machine Translation Systems for WMT 2019—0
The LAIX Systems in the BEA-2019 GEC Shared Task—0
Effort-Aware Neural Automatic Post-Editing—0
The NiuTrans Machine Translation Systems for WMT19—0
English-Czech Systems in WMT19: Document-Level Transformer—0
Joey NMT: A Minimalist NMT Toolkit for NovicesCode0
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models—0
Learning the Relation between Code Features and Code Transforms with Structured PredictionCode0
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges—0
Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns—0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Depth Growing for Neural Machine TranslationCode0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach—0
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders—0
A Compact and Language-Sensitive Multilingual Translation Method—0
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation—0
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation—0
English-Indonesian Neural Machine Translation for Spoken Language Domains—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Self-Supervised Neural Machine TranslationCode0
Sentence-Level Agreement for Neural Machine Translation—0
Look Harder: A Neural Machine Translation Model with Hard Attention—0
On the Word Alignment from Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Saliency-driven Word Alignment Interpretation for Neural Machine TranslationCode0
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models—0
Incremental Adaptation of NMT for Professional Post-editors: A User Study—0
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair—0
Improving Zero-shot Translation with Language-Independent Constraints—0
Conflict as an Inverse of Attention in Sequence Relationship—0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation—0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Generalizing Back-Translation in Neural Machine Translation—0
Tagged Back-Translation—0
Unsupervised Question Answering by Cloze TranslationCode0
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation—0
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
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