DocumentCode
3756105
Title
Transducers Cascades for an Automatic Recognition of Arabic Named Entities in Order to Establish Links to Free Resources
Author
Fatma Ben Mesmia;Nathalie Friburger;Kais Haddar;Denis Maurel
Author_Institution
Lab. MIRACL, Univ. of Sfax, Sfax, Tunisia
fYear
2015
fDate
4/1/2015 12:00:00 AM
Firstpage
61
Lastpage
67
Abstract
Arabic named entities (ANE) are often sources of information. That is why they are used by several applications of natural language processing (NLP) mainly in information retrieval. In order to improve the relevance of the information obtained, links to free resources can be established. Indeed, the recognition of these entities requires the use of adequate formalisms. In this paper, we propose an approach based on transducer cascades which allows the recognition of ANE more precisely the dates. This categorycan be an integral part in the events and the names of places. The implementation of the developed transducers cascades elaborated by using the CasSys tool is available under the Unitex platform. The results are motivating.
Keywords
"Transducers","Automata","Pragmatics","Dictionaries","Hidden Markov models","Natural language processing"
Publisher
ieee
Conference_Titel
Arabic Computational Linguistics (ACLing), 2015 First International Conference on
Print_ISBN
978-1-4673-9154-2
Type
conf
DOI
10.1109/ACLing.2015.16
Filename
7422281
Link To Document