26 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.CL2014★ 4 cited
A Lemma Based Evaluator for Semitic Language Text Summarization Systems
Tarek El-Shishtawy, Fatma El-Ghannam
Matching texts in highly inflected languages such as Arabic by simple stemming strategy is unlikely to perform well. In this paper, we present a strategy for automatic text matchin…
cs.CL2012★ 5 cited
Keyphrase Based Arabic Summarizer (KPAS)
Tarek El-Shishtawy, Fatma El-Ghannam
This paper describes a computationally inexpensive and efficient generic summarization algorithm for Arabic texts. The algorithm belongs to extractive summarization family, which r…
cs.CL2012★ 26 cited
An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes
Tarek El-Shishtawy, Fatma El-Ghannam
In spite of its robust syntax, semantic cohesion, and less ambiguity, lemma level analysis and generation does not yet focused in Arabic NLP literatures. In the current research, w…