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Clustering verb, adjective, adjectival-verb concepts using proximity relation

机译:使用接近关系将动词,形容词,形容词-动词概念聚类

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This paper deals with clustering verb, adjective, epithet-verb concepts, using fuzzy proximity relation, in the view point of noun connection which is called the Theme-Rheme structure. Similarity relation S is denoted between two verbs which own same nouns. That is why similar verbs connect same nouns. After denoting S to all verbs, /spl alpha/-cut the S and make similar groups among the verbs, adjectives and epithet-verbs. The groups and singular verbs consist of verb classes. In a similar way, S is denoted between two adjectives and between two epithet-verbs, and makes adjective classes and epithet-verb classes. 131 to 194 verb classes, 5 to 34 adjective classes and 39 epithet-verb classes are acquired. This research is based on the construction of the situation database and Japanese ideational semantic network in systemic functional grammar.
机译:本文从名词联系的角度出发,用模糊接近关系处理动词,形容词,上位动词的聚类概念,即主题-韵律结构。在具有相同名词的两个动词之间表示相似关系S。这就是为什么类似动词连接相同名词的原因。在对所有动词表示S后,/ spl alpha /-剪切S并在动词,形容词和上位词动词之间进行相似的分组。组和单数动词由动词类组成​​。以类似的方式,S表示在两个形容词之间和两个上义动词之间,并形成形容词类和上义动词类。获得了131至194个动词类,5至34个形容词类和39个上位-动词类。本研究基于系统功能语法中情境数据库和日语概念语义网的构建。

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