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

• Main Author: Shen, Mo
• Other Authors: 河原, 大輔
• Format: Doctoral Thesis
• Language: English
• Published: 京都大学 (Kyoto University) 2016
• Subjects: Natural language processing; Chinese language processing; Syntax; Dependency parsing; Morphology; Word segmentation; Corpus building; 007
• Online Access: http://hdl.handle.net/2433/215675

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 or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. === 京都大学 === 0048 === 新制・課程博士 === 博士(情報学) === 甲第19848号 === 情博第599号 === 新制||情||104(附属図書館) === 32884 === 京都大学大学院情報学研究科知能情報学専攻 === (主査)准教授 河原 大輔, 教授 黒橋 禎夫, 教授 鹿島 久嗣 === 学位規則第4条第1項該当 === Doctor of Informatics === Kyoto University === DFAM