A method to detect the provisional boundaries of non-segmented kana sentences and its application
| Project/Area Number |
09680361
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Fukui University |
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Principal Investigator |
ARAKI Tetsuo Faculty of Engineering, Fukui University, 工学部, 助教授 (80222743)
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| Project Period (FY) |
1997 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1999: ¥200,000 (Direct Cost: ¥200,000)
Fiscal Year 1998: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1997: ¥1,600,000 (Direct Cost: ¥1,600,000)
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| Keywords | provisional boundaries / dialogue / self-repair / Markov chain model / Matching method / precision factor / recall factor / syllable chain / マッチング / 会話文 / 言い直し / マルコフモデル |
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| Research Abstract |
This paper proposes a method to detect self-repair strings included in spontaneous speech by Markov models of syllables. These strings are assumed to be represented with syllable strings obtained correctly by acoustic processing.
The method comprises the following two steps: The first step is to determine the provisional bunsetsu boundaries of a non-segmented syllable sentence with self-repair strings. We improved the method which has been proposed to find the provisional bunsetsu boundaries of correct sentences by Markov models, to be applicable to sentences with self-repair. The second step is to detect self-repair strings, which are inserted in the location of bunsetsu boundaries. In this step, we proposed three methods of pattern matching to detect these strings.
This method is applied to detect self-repair strings in ATR dialogue corpus. It is confirmed that the method is effective to detect self-repair strings inserted in bunsetsu boundaries.
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Report
(4 results)
Research Products
(13 results)
