Punjabi Pos Tagger: Rule Based and HMM

Umrinderpal Singh, Vishal Goyal

Abstract


The Part of Speech tagger system is used to assign a tag to every input word in a given sentence. The tags may include different part of speech tag for a particular language like noun, pronoun, verb, adjective, conjunction etc. and may have subcategories of all these tags. Part of Speech tagging is a basic and a preprocessing task of most of the Natural Language Processing (NLP) applications such as Information Retrieval, Machine Translation, and Grammar Checking etc. The task belongs to a larger set of problems, namely, sequence labeling problems. Part of Speech tagging for Punjabi is not widely explored territory. We have discussed Rule Based and HMM based Part of Speech tagger for Punjabi along with the comparison of their accuracies of both approaches. The System is developed using 35 different standard part of speech tag. We evaluate our system on unseen data with state-of-the-art accuracy 93.3%.

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References


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DOI: https://doi.org/10.23956/ijarcsse/V7I7/0106

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