A Literature Review: Stemming Algorithms for Indian Languages
This is an incremental literature review that addresses stemming problems for Indian languages in NLP applications.
The paper surveys recent developments in stemming algorithms for data mining and presents solutions for various Indian languages, including results.
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.