A Literature Review: Stemming Algorithms for Indian Languages
نویسندگان
چکیده
Stemming is the process of extracting root word from the given inflection word. It also plays significant role in numerous application of Natural Language Processing (NLP). The stemming problem has addressed in many contexts and by researchers in many disciplines. This expository paper presents survey of some of the latest developments on stemming algorithms in data mining and also presents with some of the solutions for various Indian language stemming algorithms along with the results. Keywords— Tamil morphology, Tamil stemmer, Light stemmer, Improved stemmer, Natural Language Processing.
منابع مشابه
Literature Review: Stemming Algorithms for Indian and Non-Indian Languages
I. Introduction Stemming plays an important role in Information Retrieval System (IRS) for improving the performance of all languages. The goal of stemming is to diminish inflectional and derivational variant forms of a word to a common base form. A stemmer can execute operation of transforming morphologically identical words to root word without performing morphological analysis of that term. ...
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Stemming is a technique used for reducing inflected words to their stem or root form. This is applicable for both the suffix as well as prefix. Stemming is a preprocessing step in text mining application and commonly used for Natural Language Processing (NLP). A stemmer can execute operation of altering morphologically identical words to root word without performing morphological analysis of th...
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عنوان ژورنال:
- CoRR
دوره abs/1308.5423 شماره
صفحات -
تاریخ انتشار 2013