Abstract | ||
---|---|---|
This paper introduces a work on identification of conjunct verbs in Hindi. The paper will first focus on investigating which noun-verb combination makes a conjunct verb in Hindi using a set of linguistic diagnostics. We will then see which of these diagnostics can be used as features in a MaxEnt based automatic identification tool. Finally we will use this tool to incorporate certain features in a graph based dependency parser and show an improvement over previous best Hindi parsing accuracy. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-19400-9_3 | CICLing |
Keywords | Field | DocType |
certain feature,automatic identification tool,best hindi parsing accuracy,noun-verb combination,dependency parser,conjunct verb,linguistic diagnostics,noun,parsing | Verb,Graph,Light verb,Computer science,Hindi,Speech recognition,Dependency grammar,Artificial intelligence,Natural language processing,Parsing | Conference |
Volume | ISSN | Citations |
6608 | 0302-9743 | 6 |
PageRank | References | Authors |
0.60 | 16 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rafiya Begum | 1 | 78 | 6.01 |
Karan Jindal | 2 | 16 | 1.46 |
Ashish Jain | 3 | 6 | 0.60 |
Samar Husain | 4 | 190 | 18.43 |
Dipti Misra Sharma | 5 | 262 | 45.90 |