A Mandarin dictation machine based upon a hierarchical recognitionapproach and Chinese natural language analysis
Lee, L.-S.
Tseng, C.-Y.
Chen, K.J.
Huang, J.
Hwang, C.-H.
Ting, P.-Y.
Lin, L.-J.
Chen, C.C.
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei ;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1990
Volume: 12,
Issue: 7
On page(s): 695-704
ISSN: 0162-8828
References Cited: 21
CODEN: ITPIDJ
INSPEC Accession Number: 3724671
Digital Object Identifier: 10.1109/34.56213
Current Version Published: 2002-08-06
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
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