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AutoParSe: An Automatic Paradigm Selector For Nouns in Konkani

机译:AutoParSe:Konkani中名词的自动范式选择器

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In this paper, we discuss a rule based method which automatically assigns paradigms to Konkani nouns using morphophonemic rules, stem formation rules and relevance score of the paradigms. The first contribution is computation of relevance score of a paradigm, which is computed using a corpus and paradigm differentiating measure assigned to inflectional suffixes in the paradigm. Relevance score helps assign multiple paradigms to the input word wherever appropriate. The other contribution is a method for computing paradigm differentiating measure for inflectional suffixes. We have proposed a pruning technique based on derivational suffixes to further improve the precision. The experimental study has been carried out using the Konkani WordNet and the Asmitai Corpus. The proposed method successfully assigned relevant paradigms to 10,068 nouns with F-Score of 0.93.
机译:在本文中,我们讨论了一种基于规则的方法,该方法使用形变音素规则,词干形成规则和相关性得分,自动将范式分配给Konkani名词。第一个贡献是计算范式的相关性分数,这是使用分配给范式中的后缀后缀的语料库和范式区分度量来计算的。关联性分数可以在适当的情况下为输入单词分配多个范式。另一个贡献是一种计算拐点后缀的范式微分度量的方法。我们提出了一种基于导数后缀的修剪技术,以进一步提高精度。实验研究是使用Konkani WordNet和Asmitai语料库进行的。该方法成功为10,068个名词的F-Score为0.93分配了相关范例。

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