Nepali NLP Research Papers
Research on Natural Language Processing for Nepali Language began in 2005 with the Bhasa Sanchar project and now it is being actively carried out in universities and research institutes of Nepal and India. I have curated a list of NLP papers for Nepali language published in different journals and categorized them according to different NLP tasks in descending order of published date.
Classification
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Improving Nepali Document Classification by Neural Network (Kafle et el., 2016)
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A lexicon pool augmented Naive Bayes Classifier for Nepali Text (Thakur and Singh, 2014)
Clustering
Morphological Analysis
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Design of a Morph Analyzer for Non-Declinable Adjectives of Nepali Language (Borah et al., 2017)
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Development of a Morph Analyser for Nepali noun token (Chhetri et al., 2015)
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A Morphological Analyzer and a Stemmer for Nepali (Bal Krishna Bal)
Named Entity Recognition
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Named Entity Recognition for Nepali Text Using Support Vector Machines (Bam and Shahi, 2014)
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Named Entity Recognition for Nepali language: A Semi Hybrid Approach (Dey et al., 2014)
POS Tagging
- A Deep Learning Approach for Part-of-Speech Tagging in Nepali Language (Prabha et al., 2018)
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Part of Speech Tagging Using Statistical Approach for Nepali Text (Archit Yajnik, 2017)
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Hidden Markov Model based Part of Speech Tagging for Nepali language (Paul et al., 2015)
- Support Vector Machines based Part of Speech Tagging for Nepali Text (Shahi and Dhamala, 2013)
Sentiment Analysis
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Analyzing facts and opinions in Nepali subjective texts (Regmi et al., 2017)
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Classifying sentiments in Nepali subjective texts (Thapa et al., 2016)
Stemming
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A new stemmer for Nepali language (Shrestha and Dhakal, 2016)
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An Affix Removal Stemmer for Natural Language Text in Nepali (Paul et al., 2014)
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A Hybrid Algorithm for Stemming of Nepali Text (Chiranjibi Sitaula, 2014)
Translation
Other
Data
** Note: The list is not comprehensive. For any corrections or addition of new papers on Nepali NLP, mail me at ssushil dot awale at gmail dot com.