sanstem 1.0

A rule-based stemmer for Sanskrit Verbs and Nouns

sanstem

Sanstem is a tool used for stemming Sanskrit Verbs and Nouns. Stemming is a pre-processing procedure applied for many NLP algorithms by which the suffix of a word is removed to obtain its stem/root form. This tool is built using a simple rule-based approach.

Installation

pip install sanstem

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Usage

from sanstem import SanskritStemmer

#create a SanskritStemmer object
stemmer = SanskritStemmer()

Stemming a Noun

inflected_noun = ' गजेन ' 
stemmed_noun = stemmer.noun_stem(inflected_noun)
print(stemmed_noun)
# output : गज्

Stemming a Verb

inflected_verb = ' गच्छामि '
stemmed_verb = stemmer.verb_stem(inflected_verb)
print(stemmed_verb)
# output : गच्छ्

Please note to only enter a single word in Devanagari text as input to the functions verb_stem() and noun_stem().

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Contribute

• Currently the tool can stem only Sansrkrit Verbs and Noun. It can be extend to more parts of speech like adjective, adverb etc.
• The tool can be made flexible to accept Sanskrit input in any convention like IAST, HK, iTrans etc.
• Instead of stemming just a single word, it can be made capable of stemming a sentence or even a whole file.

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Issue

Please open an issue here in case any bug was encountered. Mail id : [e-mail]