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A Lexico-Semantic Analysis of Chinese Locality Phrases - A Topic Clustering Approach

机译:汉语局部短语的词汇语义分析-主题聚类方法

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In this paper, we present a novel approach using LDA (Latent Dirichlet Analysis, Blei, David, Andrew, Michael, and Jordan, 2003) to analyze synonym groups appearing in fixed frames containing Chinese locative phrases, such as [zai noun phrase (yilzhi) shang/xia/etc. bian/mian/etc.], and to understand noun meanings related to the syntactic forms of locative phrases. We mapped the different noun phrases to their collocating synonym groups before we generated similarity comparison among different combinations. We collected locative phrases using 11 monosyllabic locative words and 5 locative compound-formation patterns from Sketch Engine, and we aligned these compounds with Chinese Synonym Forest (Mei, Zhu, & Gao 1983) before clustering. A Hive Plot (Krzywinski, Birol, Jones, and Marra, 2012) visualizer was constructed in order to help understand the relationship of locative nouns and their synonym groups. The results showed not only the semantic meaning within a locative phrase, but also the corresponding semantic meanings among locative phrases.
机译:在本文中,我们提出了一种使用LDA的新颖方法(Latent Dirichlet Analysis,Blei,David,Andrew,Michael和Jordan,2003年)来分析出现在包含汉语定位短语(例如[zai名词短语(yilzhi] )shang / xia / etc。 bian / mian / etc。],并了解与定位短语的句法形式相关的名词含义。在生成不同组合之间的相似度比较之前,我们将不同的名词短语映射到它们的并置同义词组。我们从Sketch Engine中使用11个单音节定位词和5个定位复合词形成模式收集了定位短语,并在聚类之前将这些复合词与汉语同义词森林(Mei,Zhu和Gao 1983)进行了比对。构造了Hive Plot(Krzywinski,Birol,Jones和Marra,2012)可视化程序,目的是帮助理解位置名词及其同义词组的关系。结果不仅显示了一个定位短语中的语义,而且还显示了定位短语中相应的语义。

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