Building a Lemmatizer and a Spell-checker for Sorani Kurdish

09/27/2018

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by   Shahin Salavati, et al.

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The present paper aims at presenting a lemmatization and a word-level error correction system for Sorani Kurdish. We propose a hybrid approach based on the morphological rules and a n-gram language model. We have called our lemmatization and error correction systems Peyv and Rênûs respectively, which are the first tools presented for Sorani Kurdish to the best of our knowledge. The Peyv lemmatizer has shown 86.7 using a lexicon, we have obtained 96.4 correction system has 87 these tools can pave the way for further researches on more natural language processing applications for Sorani Kurdish.