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Normalizing Syntactic Structures Using Part-of-Speech Tags and Binary Rules

Title
Normalizing Syntactic Structures Using Part-of-Speech Tags and Binary Rules
Authors
Kim S.Lee K.-J.Choi K.-S.
Ewha Authors
이공주
Issue Date
2003
Journal Title
IEICE Transactions on Information and Systems
ISSN
0916-8532JCR Link
Citation
IEICE Transactions on Information and Systems vol. E86-D, no. 10, pp. 2049 - 2056
Indexed
SCIE; SCOPUS scopus
Document Type
Article
Abstract
We propose a normalization scheme of syntactic structures using a binary phrase structure grammar with composite labels. The normalization adopts binary rules so that the dependency between two sub-trees can be represented in the label of the tree. The label of a tree is composed of two attributes, each of which is extracted from each sub-tree, so that it can represent the compositional information of the tree. The composite label is generated from part-of-speech tags using an automatic labelling algorithm. Since the proposed normalization scheme is binary and uses only part-of-speech information, it can readily be used to compare the results of different syntactic analyses independently of their syntactic description and can be applied to other languages as well. It can also be used for syntactic analysis, which performs higher than the previous syntactic description for Korean corpus. We implement a tool that transforms a syntactic description into normalized one based on this proposed scheme. It can help construct a unified syntactic corpus and extract syntactic information from various types of syntactic corpus in a uniform way.
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인공지능대학 > 컴퓨터공학과 > Journal papers
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