2012
DOI: 10.1007/978-3-642-32573-1_32
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Clause Boundary Identification for Tamil Language Using Dependency Parsing

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Cited by 3 publications
(2 citation statements)
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“…(Ghosh et al, 2010) is another rule based system for clause boundary identification for Bengali, where they use machine learning approach for clause classification and dependency relations between verb and its argument to find clause boundaries. Dhivya et al (2012) use dependency trees from maltparser and the dependency tag-set with 11 tags to identify clause boundaries. Similar to (Dhivya et al, 2012), Sharma et al (2013) showed how implicit clause information present in dependency trees can be used to extract clauses in sentences.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…(Ghosh et al, 2010) is another rule based system for clause boundary identification for Bengali, where they use machine learning approach for clause classification and dependency relations between verb and its argument to find clause boundaries. Dhivya et al (2012) use dependency trees from maltparser and the dependency tag-set with 11 tags to identify clause boundaries. Similar to (Dhivya et al, 2012), Sharma et al (2013) showed how implicit clause information present in dependency trees can be used to extract clauses in sentences.…”
Section: Related Workmentioning
confidence: 99%
“…Dhivya et al (2012) use dependency trees from maltparser and the dependency tag-set with 11 tags to identify clause boundaries. Similar to (Dhivya et al, 2012), Sharma et al (2013) showed how implicit clause information present in dependency trees can be used to extract clauses in sentences. Their system have reported 94.44% accuracy for Hindi.…”
Section: Related Workmentioning
confidence: 99%