Abstract Named Entity Recognition (NER) is the problem of locating and categorizing atomic entities in a given text. In this work, we used DBpedia Linked datasets and combined existing open source tools to generate from a parallel corpus a bilingual lexicon of Named Entities (NE). To annotate NE in the monolingual English corpus, we used linked data entities by mapping them to Gate Gazetteers. In order to translate entities identified by the gate tool from the English corpus, we used moses, a Statistical Machine Translation (SMT) system. The construction of the Arabic-English NE lexicon is based on the results of moses translation. Our method is fully automatic and aims to help Natural Language Processing (NLP) tasks such as, Machine Translation (MT) information retrieval, text mining and question answering. Our lexicon contains 48753 pairs of Arabic-English NE, it is freely available for use by other researchers.

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[22] Zaghouani W., RENAR: A rule-based Arabic named entity recognition system, ACM Transactions Asian Language Information Processing, vol. 11, no. 1, pp. 1-13, 2012. Emna Hkiri is a PhD student in Computer Sciences at the Faculty of Economics and Management of Sfax. She is a member of LaTiCe Laboratory. His main research interests are in natural language processing (Arabic language); text translation, ontologies, NER and machine learning. Souheyl mallat is a PhD student in the Faculty of Economic Sciences and Management of Sfax, Tunisia. He is member of LaTICE Laboratory, Monastir unity (Tunisia). His areas of interest include natural language processing, data mining and information retrieval. Mounir Zrigui I received my PhD from the Paul Sabatier University, Toulouse, France in 1987and my HDR from the Stendhal University, Grenoble, France in 2008. Since 1986, I am a Computer Sciences assistant Professor in Brest University, France, and after in Faculty of Science of Monastir, Tunisia. I have started my research, focused on all aspects of automatic processing of natural language (written and oral), in RIADI laboratory and after in LaTICE Laboratory. I have run many research projects and published many research papers in reputed international journals/conferences. Mourad Mars received his PhD from Grenoble Alpes University, France in 2011. He is member of LaTICE Laboratory, Monastir unity (Tunisia). His areas of interest include natural language processing, machine learning and features extracting.