Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68788
Title: Using genetic algorithms for optimizing part of speech tagset
Other Titles: 利用遗传算法实现词类标记集的优化
Authors: Sun, HL
Lu, Q 
Yu, SW
Keywords: POS tagging
Word class
POS tagset
Genetic algorithm
Issue Date: 2001
Publisher: 中国中文信息学会 ; 北京信息工程学院
Source: 中文信息学报 (Journal of Chinese information processing), 2001, v. 15, no. 1, p. 19-27 How to cite?
Journal: 中文信息学报 (Journal of Chinese information processing) 
Abstract: 过去词类标记集的选择主要基于专家的经验知识 ,缺乏自动或半自动的方法来辅助这一过程。本文提出了一种利用遗传算法来搜索优化的标记集的新方法。这种方法可以在一个候选标记集集合中自动搜索一个最优或较优的标记集 ,并可根据应用的需求调整参数以适应特定任务的需求。实验表明 :遗传算法为标记集的选择提供了一种系统的有效的辅助手段
POS tagset selection in the past was mainly done by experts using human knowledge manually,since there is no automatic or semi automatic way to assist the selection process.This paper proposes a novel method to search for an optimal POS tagset using genetic algorithms (GA).The experiment shows that GA provides an efficient optimization of POS tagset and allows for the adjustment of parameters according to user requirement.It provides a systematic way to help people in making an intelligent choice on the selection of a tagset.
URI: http://hdl.handle.net/10397/68788
ISSN: 1003-0077
Rights: © 2001 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2001 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
r00797.pdf269.05 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

15
Last Week
0
Last month
Citations as of Jan 21, 2018

Download(s)

6
Citations as of Jan 21, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.