Name
Abstract | ||
|---|---|---|
This paper introduces an ongoing work on developing verb frames for Hindi. Verb frames capture syntactic commonalities of semantically related verbs. The main objective of this work is to create a linguistic resource which will prove to be indispensable for various NLP applications. We also hope this resource to help us better understand Hindi verbs. We motivate the basic verb argument structure using relations as introduced by Panini. We show the methodology used in preparing these frames and the criteria followed for classifying Hindi verbs. |
Year | Venue | Keywords |
|---|---|---|
2008 | SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008 | knowledge base |
Field | DocType | Citations |
Verb,Hindi,Computer science,Natural language processing,Artificial intelligence,Syntax,Linguistics | Conference | 5 |
PageRank | References | Authors |
0.65 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafiya Begum | 1 | 78 | 6.01 |
| Samar Husain | 2 | 190 | 18.43 |
| Lakshmi Bai | 3 | 69 | 4.89 |
| Dipti Misra Sharma | 4 | 262 | 45.90 |