Improving structural statistical machine translation for sign language with small corpus using thematic role templates as translation memory

IEEE Transactions on Audio, Speech and Language Processing

Volumn 17, Issue 7, 2009, Pages 1305-1315

  Su, Hung Yu ^a   Wu, Chung Hsien ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Sign language; Small corpus; Structural statistical machine translation (SSMT); Thematic relation.

Indexed keywords

BILINGUAL CORPORA; CHINESE SENTENCE; COMMUNICATION EFFECTIVENESS; DATA SPARSENESS PROBLEM; EVALUATION RESULTS; GRAMMAR RULES; LINGUISTIC INFORMATION; SIGN LANGUAGE; SMALL CORPUS; STATISTICAL MACHINE TRANSLATION; STRUCTURAL STATISTICAL MACHINE TRANSLATION (SSMT); STRUCTURAL TRANSLATION; THEMATIC RELATION.; THEMATIC RELATIONS; TRANSLATION MEMORIES; TREEBANKS;

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; CONCENTRATION (PROCESS); CONTEXT FREE GRAMMARS; INFORMATION THEORY; LABELS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SPEECH TRANSMISSION; STATISTICS; TELLURIC PROSPECTING; THERMOLUMINESCENCE;

TRANSLATION (LANGUAGES);

EID: 68549099654     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2009.2016234     Document Type: Article

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