Title :
Evaluation of dependency parsers for long Arabic sentences
Author :
Alabbas, Maytham ; Ramsay, Allan
Author_Institution :
Sch. of Comput. Sci., Manchester Univ., Manchester, UK
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;
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
DOI :
10.1109/STAIR.2011.5995796
