Nepali NLP Group conducts research and development activities in the field of natural language processing. Our research combines findings from linguistics with methods in machine leaning to develop efficient algorithms to process texts in Nepali.

Broadly, we work in the following areas:

  • Nepali NLP, morphology, parsing

  • Information extraction, data mining

  • Text analytics, social medial analytics

  • Linguistics resource development: corpora, lexicons

  • Applications of Regular Expression in Text Analysis

    by Ingroj Shrestha on Sept. 4, 2017

    Text analysis applications require frequent pattern matching and searching. For this reason, regular expressions play an important role in text analysis. Regular expressions are special sequence of characters that are useful for searching in texts. They can be used to ...

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    Tag: Text Analysis , Python , Regular Expressions

    Stop Words Removal(Nepali)

    by Shreeya Singh Dhakal on Aug. 13, 2017

    Removing stop words is a common and important practice when working with text analysis applications. So, what are stop words and why filter them out during pre-processing?

    Stop words are the words used in defining the structure of sentences. These ...

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    Tag: Text Analysis , Pre Processing

    Iterative Rule-based Stemming in Nepali

    by Ingroj Shrestha on Aug. 25, 2017

    Nepali, being a highly inflectional and derivational language, a single word can represent various grammatical forms and meanings. For example a verb root लेख्(lekh) can show different forms such as: लेख्छु(lekh-chu), लेख्छस्(lekh-chas ...

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    Tag: Text Analysis , NLP , Pre Processing