Modeling case marking system of Urdu-Hindi languages by using semantic information

Author

Rizvi, Syed Mohammad Jafar ; Hussain, Mutawarra

Author_Institution

Dept. of Comput. & Inf. Sci., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan

fYear

2005

fDate

30 Oct.-1 Nov. 2005

Firstpage

85

Lastpage

90

Abstract

Rule based modeling of the grammar of a language is important for various natural language processing chores. In this paper, formulation of Urdu/Hindi case marking system based on lexical functional grammar (LFG) is presented. In this paper, semantic information associated with nouns is incorporated to better classify grammatical roles adopted by each case. Especially, the versatile case marker ´sey´ has found to adopt different roles depending upon semantic information associated with nouns. The agent role of ´sey´ found by such classification helped identifying subject and indirect subject roles of tetravalent causative verbs found in Urdu/Hindi languages.

Keywords

grammars; natural languages; semantic networks; LFG; Urdu-Hindi languages; case marking system; lexical functional grammar; natural language processing; rule based modeling; semantic information; tetravalent causative verb; Animation; Books; Computer aided software engineering; Equations; Natural language processing; Natural languages; Vocabulary; Writing; Case Marking System; Hindi; Language Modeling; Lexical Functional Grammar (LFG); Urdu;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on

Print_ISBN

0-7803-9361-9

Type

conf

DOI

10.1109/NLPKE.2005.1598712

Filename

1598712