Improve Example-Based Machine Translation Quality for Low-Resource Language Using Ontology

Khan Md. Anwarus Salam; Setsuo Yamada; Nishio Tetsuro

doi:10.1007/978-3-319-64051-8_5

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Improve Example-Based Machine Translation Quality for Low-Resource Language Using Ontology

Khan Md. Anwarus Salam Setsuo Yamada Nishio Tetsuro

Year: 2017 Studies in computational intelligence Pages: 67-90 Publisher: Springer Nature

DOI: 10.1007/978-3-319-64051-8_5

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Keywords:

Computer science WordNet Natural language processing Artificial intelligence Bengali Machine translation Word (group theory) Set (abstract data type) Ontology String (physics) Test set Quality (philosophy) Translation (biology) Tree (set theory) Information retrieval Linguistics Programming language Mathematics

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Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text Readability and Simplification

Physical Sciences → Computer Science → Artificial Intelligence

Improve Example-Based Machine Translation Quality for Low-Resource Language Using Ontology

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