%0 Journal Article %T Disambiguation for Data-Oriented Parsing
面向数据的句法分析消歧 %A ZHANG Yue-Jie %A ZHANG Tao %A ZHU Jing-Bo %A YAO Tian-Shun %A
张杰 %A 张涛 %A 朱靖波 %A 姚天顺 %J 计算机科学 %D 2006 %I %X Data-Oriented Parsing(DOP)technique is a kind of probabilistic parsing strategy.The main goal of DOP model is to find the most probable parse for a given input sentence,that is,parse disambiguation.In fact,it is proved through a lot of research work about algorithm computation complexity that this kind of disambiguation problem be- longs to the class of NP-Complete problem.So in order to implement the most probable parse efficiently,some re- searchers have proposed many approximation parsing algorithms.This paper mainly presents a kind of approximation parsing algorithm based on Monte Carlo method in DOP framework,which can be implemented at reasonable(i,e.pol- ynomial)algorithmic cost.And at the same time,under statistical control,it is guaranteed that an obtained approximate solution indeed corresponds to an exact solution of the problem after disambiguation. %K Data-oriented parsing(DOP) %K Stochastic tree substitution grammar(STSG) %K Disambiguation %K Monte carlo method
面向数据的句法分析 %K 随机树替换文法 %K 消歧 %K Monte %K Carlo方法 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2AC1B7FF8B067B29&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=0584DB487B4581F4&eid=4609832E4B5C797B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=16