The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Morphological richness offsets resource demand- experiences in constructing a POS tagger for Hindi
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Part of Speech Tagging in Bengali Using Support Vector Machine
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
SVM Based Part of Speech Tagger for Malayalam
ITC '10 Proceedings of the 2010 International Conference on Recent Trends in Information, Telecommunication and Computing
Identification of reduplicated multiword expressions using CRF
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Semantic clustering: an attempt to identify multiword expressions in Bengali
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
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The Reduplicated Multiword Expression (RMWE) is identified using Support Vector Machine (SVM) and these identified RMWE is used as a feature for the SVM based POS tagging of Manipuri, which is a very highly agglutinative Indian Schedule Language. A common features approach for both RMWE identification and POS tagging is tried. Identification of RMWE using SVM shows the Recall of 86.11%, Precision of 92.08% and F-measure of 88.99%. The identified RMWE is used as a feature in the SVM based POS tagger which results with the Recall of 71.15%, Precision of 83.15% and F-measure of 76.68%.