Paper Info
Title
A Multi-Word Term Extraction Program for Arabic Language
Abstract
Terminology extraction commonly includes two steps: identification of term-like units in the texts, mostly multi-word phrases, and the ranking of the extracted term-like units according to their domain representativity. In this paper, we design a multi-word term extraction program for Arabic language. The linguistic filtering performs a morphosyntactic analysis and takes into account several types of variations. The domain representativity is measure thanks to statistical scores. We evalutate several association measures and show that the results we otained are consitent with those obtained for Romance languages.
Year
Venue
Keywords
2008
SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008
arabic language
Field
DocType
Citations 
Arabic,Ranking,Computer science,Filter (signal processing),Artificial intelligence,Natural language processing,Romance languages,Terminology extraction
Conference
14
PageRank 
References 
Authors
0.91
9
3
Name
Order
Citations
PageRank
Siham Boulaknadel1239.24
Béatrice Daille230634.40
Driss Aboutajdine358988.82