A Possibilistic approach for Arabic domain terminology extraction and translation

TitleA Possibilistic approach for Arabic domain terminology extraction and translation
Publication TypeConference Paper
Year of Publication2018
AuthorsLahbib, W, Bounhas, I, Slimani, Y
Conference NameInternational Symposium on Computer and Information Sciences
Date Published09/2018
PublisherSpringer
Conference LocationPoland
Other Numbers231-238
KeywordsArabic bilingual terminology, Graph-mining., Possibility theory
Abstract

This paper proposes a hybrid possibilistic approach for bilingual terminology
extraction using possibility and necessity measures. On the one hand,
we extract domain-relevant terms from the source language, and on the other
hand, we build a co-occurrence-based translation graph, which is mined to
translate terms in the target language. We compare our approach with different
state-of-the art approaches. Experimental results show that the possibilistic approach
reaches better results in terms of Recall, Precision and Mean Average
Precision (MAP). The differences between the compared approaches show that
our contribution is significant in terms of p-value.

Topics: 

Arabic TALN & IR

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