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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 551–600 of 1773 papers

TitleStatusHype
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
Adabot: Fault-Tolerant Java Decompiler—0
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation—0
Dynamic Position Encoding for Transformers—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
Dynamic Oracle for Neural Machine Translation in Decoding Phase—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Dynamic Fusion: Attentional Language Model for Neural Machine Translation—0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task—0
Adversarial Neural Machine Translation—0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars—0
Controllable Dual Skew Divergence Loss for Neural Machine Translation—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Dual Past and Future for Neural Machine Translation—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Adversarial Grammatical Error Correction—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
D-PAGE: Diverse Paraphrase Generation—0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
Domain Control for Neural Machine Translation—0
Domain adapted machine translation: What does catastrophic forgetting forget and why?—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 2020—0
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Domain Adaptation of Document-Level NMT in IWSLT19—0
Boosting Neural Networks to Decompile Optimized Binaries—0
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet—0
Domain Adaptation for NMT via Filtered Iterative Back-Translation—0
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network—0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
Findings of the Third Workshop on Neural Generation and Translation—0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Does NMT make a difference when post-editing closely related languages? The case of Spanish-Catalan—0
Boosting Neural Machine Translation—0
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