DocumentCode
2260035
Title
Building a dictionary on constituent structure of Chinese compounds
Author
Qiu, Likun ; Zhang, Xiaoqiao ; Mao, Ling
Author_Institution
Inst. of Artificial Intell., Beijing City Univ., Beijing, China
fYear
2009
fDate
24-27 Sept. 2009
Firstpage
1
Lastpage
8
Abstract
This paper presents an approach of building a contemporary Chinese dictionary on constituent structure of compounds. Manual tagging and three automatic tagging methods, including bi-direction parallel analogy, paired parallel analogy and inferring based on the consistency between form and meaning, are used. More than 40,000 words of all the 54000 bi-syllabic words in Hownet are fully or half semantically tagged by these three automatic methods. In the process of manual tagging, the difficulties and corresponding solving schemes are also presented in this paper. After manual and automatic tagging, two methods are used for checking their results. First, several heuristic rules are used on manual tagging results to mine abnormal tagging. Second, the manual and automatic tagging results are comparing with each other and the inconsistent tagging results are also considered as abnormal tagging. All abnormal tagging results are reserved for further checking.
Keywords
data mining; dictionaries; natural language processing; text analysis; Chinese compound; Hownet; abnormal tagging; automatic tagging; bidirection parallel analogy; bisyllabic word; constituent structure; data mining; dictionary; heuristic rule; manual tagging; paired parallel analogy; semantic tagging; Artificial intelligence; Bidirectional control; Buildings; Concurrent computing; Databases; Dictionaries; Morphology; Natural languages; Speech; Tagging; Bi-direction Parallel Analogy; Grammatical Category; Grammatical Structure; Paired Parallel Analogy; Semantic Category;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-4538-7
Electronic_ISBN
978-1-4244-4540-0
Type
conf
DOI
10.1109/NLPKE.2009.5313777
Filename
5313777
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