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Logistic Regression for Automatic Lexical Level Morphological Paradigm Selection for Konkani Nouns

机译:用于Konkani名词的自动词汇水平形态范例选择的Logistic回归

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Automatic selection of morphological paradigm for a noun lemma is necessary to automate the task of building morphological analyzer for nouns with minimal human interventions. Morphological paradigms can be of two types namely surface level morphological paradigms and lexical level morphological paradigms. In this paper we present a method to automatically select lexical level morphological paradigms for Konkani nouns. Using the proposed concept of paradigm differentiating measure to generate a training data set we found that logistic regression can be used to automatically select lexical level morphological paradigms with an F-Score of 0.957.
机译:为了使用最少的人为干预为名词构建形态分析器的任务自动化,对名词引理的形态学范式进行自动选择是必要的。形态范式可以有两种类型,即表面层次形态范式和词汇层次形态范式。在本文中,我们提出了一种自动选择Konkani名词的词汇水平形态范例的方法。使用所提出的范式区分度量的概念来生成训练数据集,我们发现逻辑回归可以用来自动选择F级得分为0.957的词汇级形态范式。

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