博士論文

Exploiting Vocabulary, Morphological, and Subtree Knowledge to Improve Chinese Syntactic Analysis

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Exploiting Vocabulary, Morphological, and Subtree Knowledge to Improve Chinese Syntactic Analysis

Persistent ID (NDL)
info:ndljp/pid/10122219
Material type
博士論文
Author
Shen, Mo
Publisher
-
Publication date
2016-03-23
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
京都大学,博士(情報学),Doctor of Informatics
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Notes on use at the National Diet Library

Notes on use

Note (General):

In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products o...

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Digital

Material Type
博士論文
Author/Editor
Shen, Mo
Author Heading
Publication Date
2016-03-23
Publication Date (W3CDTF)
2016-03-23
Alternative Title
語彙的、形態的、および部分木知識を用いた中国語構文解析の精度向上
Contributor
河原, 大輔
黒橋, 禎夫
鹿島, 久嗣
Degree grantor/type
京都大学
Date Granted
2016-03-23