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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46184

Title: A Mandarin dictation machine based upon a hierarchical recognition approach and Chinese natural language analysis
Authors: LIN-SHAN LEE
CHIU-YU TSENG
K. J. CHEN
JAMES HUANG
CHIA-HWA HWANG
PEI-YIH TING
LONG-JI LIN
C. C. CHEN
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Chart parser;hierarchical approach;Mandarin Chinese;natural language;speech recognition;syllables;syntactic checking;word hypotheses
Date: 1990-07
Issue Date: 2018-05-07T06:46:58Z
Publisher: IEEE Transactions on Pattern Analysis and Machine Intelligence
Abstract: Abstract:
An experimental Mandarin dictation machine for inputting Mandarin speech (spoken Chinese language) into computers is described. Because of the special characteristics of the Chinese language, syllables are chosen as the basic units for dictation. The machine is designed based on a hierarchical language recognition approach in which acoustic signals are first recognized as a sequence of syllables, possible word hypotheses are then formed from the syllables, and the complete sentences are finally obtained. This approach is implemented by two subsystems. The first recognizes the syllables using speech signal processing techniques, the second subsystem then identifies the exact characters from the syllable and corrects the errors in syllable recognition. The detailed syllable recognition algorithms, word formation rules, parser, grammar, and the syntactic checking algorithms are described. With newspaper text in the form of isolated syllables as input, the preliminary test results indicate that such a dictation machine is not only practically attractive, but technically feasible.
Relation: 12(7), pp.695-704
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46184
Appears in Collections:[資訊工程學系] 期刊論文

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