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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 1051–1100 of 1773 papers

TitleStatusHype
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Multiscale Collaborative Deep Models for Neural Machine TranslationCode0
Syntax-aware Data Augmentation for Neural Machine Translation—0
Revisiting Round-Trip Translation for Quality Estimation—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
A Study of Non-autoregressive Model for Sequence Generation—0
When and Why is Unsupervised Neural Machine Translation Useless?—0
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Explicit Reordering for Neural Machine Translation—0
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Meta-Learning for Few-Shot NMT Adaptation—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
Understanding Learning Dynamics for Neural Machine Translation—0
DeepSumm -- Deep Code Summaries using Neural Transformer Architecture—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian PidginCode0
Towards Neural Machine Translation for Edoid Languages—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Modeling Future Cost for Neural Machine Translation—0
Echo State Neural Machine Translation—0
MuST-Cinema: a Speech-to-Subtitles corpus—0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue—0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Translating Web Search Queries into Natural Language Questions—0
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks—0
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation—0
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems—0
Explicit Sentence Compression for Neural Machine TranslationCode0
Amharic-Arabic Neural Machine Translation—0
A Study of Multilingual Neural Machine Translation—0
Tag-less Back-Translation—0
Iterative Dual Domain Adaptation for Neural Machine Translation—0
Neural Machine Translation: A Review and SurveyCode0
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