Japanese Dependency Structure Analysis based on Lexicalized Statistics

Japanese Dependency Structure Analysis based on Lexicalized Statistics
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基于词汇化统计的日语依存结构分析

DOI:
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发表时间:
1997
期刊:
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影响因子:
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通讯作者:
Yuji Matsumoto
Yuji Matsumoto
中科院分区:
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文献类型:
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作者:
Masakazu Fujio;Yuji Matsumoto

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给出了日语依存关系分析的统计模型和一些实验的结果,以考察这些模型在句法分析系统中的作用。统计模型与最近复杂的模型相比相当简单,例如A.S.MorplH:MCS1和词性标记。进行了几次实验,展示了模型的如下特性:根据特征选择模型的性能;{I模型的部分性能。rsiHg S:Y:;tclll。EDH..。[6]使用语料库对系统(_‘HL)进行翻译和评价
\Ve JH't'::wnt statistical rnodels of Japanese dependency analysis aud report results of some experiments to in vestigate the pnfonuancc of the models for the use fo a partical parsing system. The statistical modeb <:u'<' rather simple compared with the recent complex mod els <wd intesivcl,y usc lexical level information 1 such a.s morplH:mcs 1 and part-of-speech tags .. \Ve conducted several expcrimcllts to show the fol lowing properties of the modeb: lb performance of the models according to feature selec tion ;{I performance of the models as a partial pa.rsiHg s:y:::; tclll. The EDH .. [6] corpus was used for both tra.iuing a.ud evaluatioH of the syst(_'HL