DocumentCode :
1925621
Title :
Algorithm for Identifying the Syntactic and Semantic Categories of Prepositions: Case of Over
Author :
Alam, Yukiko Sasaki
Author_Institution :
Dept. of Digital Media, Hosei Univ., Tokyo
fYear :
2007
fDate :
5-7 March 2007
Firstpage :
434
Lastpage :
440
Abstract :
This paper proposes an algorithm for assigning the syntactic categories of over, many uses of which are not used as prepositions. The algorithm, enriched for the semantic capacity from earlier studies, identifies four syntactic categories of over and eleven meanings of the prepositional uses. The ability of the algorithm was tested manually by using five hundred instances of over from British National Corpus. The results are encouraging, with over 95 percent of the instances being correctly classified. This study, while pointing to an ideal direction, will reveal many important points to consider in natural language processing
Keywords :
natural language processing; British National Corpus; natural language processing; prepositions; semantic categories; syntactic categories; Belts; Clouds; Computer applications; Counting circuits; Drugs; Labeling; Marine animals; Moon; Natural language processing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing: Theory and Applications, 2007. ICCTA '07. International Conference on
Conference_Location :
Kolkata
Print_ISBN :
0-7695-2770-1
Type :
conf
DOI :
10.1109/ICCTA.2007.24
Filename :
4127408
Link To Document :
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