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首页> 外文期刊>International Journal of Computer Processing of Oriental Languages >New Technique to Support Arabic Noun Morphology: Arabic Noun Classifier System (ANCS)
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New Technique to Support Arabic Noun Morphology: Arabic Noun Classifier System (ANCS)

机译：支持阿拉伯语名词形态的新技术：阿拉伯语名词分类系统（ANCS）

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摘要

Many successful attempts have been discussed and implemented in Arabic verb morphology but very few have discussed Arabic noun morphology, particularly for nouns that are not derived from verbs. Most verbs in the Arabic language follow fixed rules that define their morphology and generate their paradigms. Since nouns are not like verbs in the Arabic language, there is no fixed rule to define the morphological information and generate the morphology paradigms for them, instead each group of nouns follows its own pattern. In this paper we describe a new technique to resolve this complexity by classifying the nouns into different groups according to their patterns for singular, plural, masculine and feminine. A method is generated for each group to be used to find the morphological information and to form its paradigm and building a classifier system using a rule base that uses suffix analysis as well as pattern analysis to help the user to classify the nouns and identify the group that it belongs.
机译：在阿拉伯动词形态上已经讨论并实现了许多成功的尝试，但是很少讨论阿拉伯名词形态，特别是对于不是从动词派生的名词。阿拉伯语中的大多数动词都遵循固定的规则，这些规则定义了它们的形态并生成了范例。由于名词与阿拉伯语中的动词不同，因此没有固定的规则来定义形态信息并为其生成形态范例，而是每组名词遵循其自身的模式。在本文中，我们描述了一种通过将名词根据单数，复数，男性和女性的模式分为不同的组来解决这种复杂性的新技术。为每个组生成一种方法，用于查找形态信息并形成其范例，并使用规则库构建分类器系统，该规则库使用后缀分析和模式分析来帮助用户对名词进行分类并识别组它属于。

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