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English syntactic disambiguation using Parser's ambiguity type information

Authors
Lee, Jae WonKim, SDChae, JSLee, JongwooKim, DH
Issue Date
Aug-2003
Publisher
ELECTRONICS TELECOMMUNICATIONS RESEARCH INST
Citation
ETRI JOURNAL, v.25, no.4, pp 219 - 230
Pages
12
Journal Title
ETRI JOURNAL
Volume
25
Number
4
Start Page
219
End Page
230
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/149111
DOI
10.4218/etrij.03.0102.0401
ISSN
1225-6463
2233-7326
Abstract
This paper describes a rule-based approach for syntactic disambiguation used by the English sentence parser in E-TRAN 2001, an English-Korean machine translation system. We propose Parser's Ambiguity Type Information (PATI) to automatically identify the types of ambiguities observed in competing candidate trees produced by the parser and synthesize the types into a formal representation. PATI provides an efficient way of encoding knowledge into grammar rules and calculating rule preference scores from a relatively small training corpus. In the overall scoring scheme for sorting the candidate trees, the rule preference scores are combined with other preference functions that are based on statistical information. We compare the enhanced grammar with the initial one in terms of the amount of ambiguity. The experimental results show that the rule preference scores could significantly increase the accuracy of ambiguity resolution.
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공과대학 (인공지능공학부)
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