Morpheme Extraction Task at FIRE 2012--2013

Sankepally, Rashmi; Kokel, Harsha; Agarwal, Komal; Majumder, Prasenjit

doi:10.1145/2701336.2701637

Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation 2013

DOI: 10.1145/2701336.2701637

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Morpheme Extraction Task at FIRE 2012--2013

Rashmi Sankepally

Harsha Kokel

Komal Agarwal

et al.

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2016

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Text Stemming

Singh

Gupta

2016

ACM Comput. Surv.

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Stemming is a process in which the variant word forms are mapped to their base form. It is among the basic text pre-processing approaches used in Language Modeling, Natural Language Processing, and Information Retrieval applications. In this article, we present a comprehensive survey of text stemming techniques, evaluation mechanisms, and application domains. The main objective of this survey is to distill the main insights and present a detailed assessment of the current state of the art. The performance of some well-known rule-based and statistical stemming algorithms in different scenarios has been analyzed. In the end, we highlighted some open issues and challenges related to unsupervised statistical text stemming. This research work will help the researchers to select the most suitable text stemming technique in a specific application and will also serve as a guide to identify the areas that need attention from the research community.

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Text Stemming

Singh

Gupta

2016

ACM Comput. Surv.

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Morpheme Extraction Task at FIRE 2012--2013

Cited by 1 publication

References 1 publication

Text Stemming

Text Stemming

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