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Volumn 17, Issue 4, 2009, Pages 840-847

Using morphological information for robust language modeling in Czech ASR system

Author keywords

Language models; Speech recognition and synthesis

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; AUTOMATIC SYSTEMS; AUTOMATIC TRANSCRIPTIONS; CLASS-BASED; CZECH LANGUAGES; LANGUAGE MODELING; LANGUAGE MODELS; MORPHOLOGICAL INFORMATIONS; MORPHOLOGICAL TAGGING; N-GRAM LANGUAGE MODELS; RECOGNITION ACCURACIES;

EID: 65249161821     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2009.2014217     Document Type: Article
Times cited : (18)

References (17)
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    • D. J. Spoustová, J. Haji?c, J. Votrubec, P. Krbec, and P. Kvěetoňn, "The best of two worlds: Cooperation of statistical and rule-based taggers for Czech," in Proc. Balto-Slavonic Natural Lang. Process. Workshop, ACL, Prague, Czech Republic, 2007, pp. 67-74.
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    • M. Mohri, "Finite-state transducers in language and speech processing," Comput. Linguist., vol. 23, no. 2, pp. 269-311, 1997.
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  • 12
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    • Speech recognition by composition of weighted finite automata
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.