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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 601–610 of 1773 papers

TitleStatusHype
A New Methodology to Maximize the Strength of SMT and NMT—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Document Level NMT of Low-Resource Languages with Backtranslation—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Document-level Neural Machine Translation with Associated Memory Network—0
Document-level Neural Machine Translation with Document Embeddings—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
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