View : 544 Download: 0
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
- 0916-8532
- Citation
- IEICE Transactions on Information and Systems vol. E86-D, no. 10, pp. 2049 - 2056
- Indexed
- SCIE; 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.
- Appears in Collections:
- 인공지능대학 > 컴퓨터공학과 > Journal papers
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML