文章基本信息

标题：Morphological Analyser for Hindi – A Rule Based Implementation
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作者：Ankita Agarwal ; Pramila ; Shashi Pal Singh 等
期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2014
卷号：4
期号：14
页码：19-25
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：Morphological analysis is an important part of Natural Language Processing. With this, the task of Machine translation becomes very easy. Morphological analyzer can be implemented effectively for the language which is rich in morphemes. Hindi is morphologically rich language. In this paper we focus on the design of a morphological analyzer for Hindi language. The analyzer takes a Hindi sentence or a word as an input and analyzes it to generate its necessary features with its root words. The features will have categories: part of speech, gender, number, and person. The tool works on both inflectional and derivational morphemes. This works on rule based approach.
关键词：Morphological Analysis; Inflectional; Derivational; Rule Based; Corpus; Lemmatize.