DocumentCode
2922183
Title
Evaluation of dependency parsers for long Arabic sentences
Author
Alabbas, Maytham ; Ramsay, Allan
Author_Institution
Sch. of Comput. Sci., Manchester Univ., Manchester, UK
fYear
2011
fDate
28-29 June 2011
Firstpage
243
Lastpage
248
Abstract
The aim of the work reported here is to investigate the effectiveness of dependency parsing for the analysis of Arabic. Arabic has a number of characteristics, described below, which make parsing it particularly challenging. The results of our investigations suggest that dependency parsing can produce reasonably accurate results. We show in particular that combining the output of two different parsers can produce more accurate results than either parser produces by itself.
Keywords
grammars; natural language processing; Arabic sentence; dependency parsing; Accuracy; Algorithm design and analysis; Grammar; Morphology; Syntactics; Testing; Training; Arabic Treebank; Dependency parsing; Dependency structure; Phrase structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Technology and Information Retrieval (STAIR), 2011 International Conference on
Conference_Location
Putrajaya
Print_ISBN
978-1-61284-354-4
Electronic_ISBN
978-1-61284-353-7
Type
conf
DOI
10.1109/STAIR.2011.5995796
Filename
5995796
Link To Document