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Chunking In Manipuri Using CRF

2014; Volume: 3; Issue: 3 Linguagem: Inglês

10.5121/ijnlc.2014.3312

2319-4111

Kishorjit Nongmeikapam, Chiranjiv Chingangbam, Nepoleon Keisham, Biakchungnunga Varte, Sivaji Bandopadhyay,

Handwritten Text Recognition Techniques

This paper deals about the chunking of the Manipuri language, which is very highly agglutinative in Nature. The system works in such a way that the Manipuri text is clean upto the gold standard. The text is processed for Part of Speech (POS) tagging using Conditional Random Field (CRF). The output file is treated as an input file for the CRF based Chunking system. The final output is a completely chunk tag Manipuri text. The system shows a recall of 71.30%, a precision of 77.36% and a F-measure of 74.21%.