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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 1501–1525 of 1773 papers

TitleStatusHype
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
HFT: High Frequency Tokens for Low-Resource NMTCode0
Synthetic and Natural Noise Both Break Neural Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Monolingual Embeddings for Low Resourced Neural Machine TranslationCode0
OpenKiwi: An Open Source Framework for Quality EstimationCode0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Morphological and Language-Agnostic Word Segmentation for NMTCode0
Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource LanguagesCode0
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?Code0
When and Why is Document-level Context Useful in Neural Machine Translation?Code0
How do lexical semantics affect translation? An empirical studyCode0
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine TranslationCode0
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out TrainingCode0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
Verdi: Quality Estimation and Error Detection for Bilingual CorporaCode0
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine TranslationCode0
Unsupervised Question Answering by Cloze TranslationCode0
Optimizing the Training Schedule of Multilingual NMT using Reinforcement LearningCode0
TransIns: Document Translation with Markup ReinsertionCode0
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for DocumentariesCode0
Multi-Class Grammatical Error Detection for Correction: A Tale of Two SystemsCode0
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
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