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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Electrical Engineering and Information Science Journal of Electrical Engineering and Information Science Vol.1 No.1
- 발행연도
- 1996.3
- 수록면
- 1 - 9 (9page)
이용수
초록· 키워드
오류제보하기
A key issue in spoken language processing has become the integration of speech understanding and natural language processing (NLP). This paper presents a parallel computational model for the integration of speech and NLP. The model adopts a hierarchically-structured know]edge base and memory-based parsing techniques. Processing is earned out by passing multiple markers in parallel through the knowledge base. Speech-specific problems such as insertion, deletion, and substitution have been analyzed and their parallel solutions are provided. The complete system has been implemented on the Semantic Network Array Processor(SNAP) and is operational. Results show an 80% sentence recognition rate for the Air Traffic Control domain. Moreover, a 15-fold speed-up can be obtained over an identical sequential implementation with an increasing speed advantage as the size of the knowledge base grows.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Integrated Speech and Natural Language Processing
Ⅲ. Execution Results
Ⅳ. Conclusion
References
저자소개
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UCI(KEPA) : I410-ECN-0101-2009-569-017763329