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8 septembre 2009
- handle: 10670/1.34uqmi
- hal: hal-00452425
- ARXIV: 1002.0481
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info:eu-repo/semantics/altIdentifier/arxiv/1002.0481
info:eu-repo/semantics/OpenAccess
Mots-clés
Named Entities (NE) Typological Model for NE EN retrieval Automatic Translation of NE Morpho-Syntactic AnalysisSujets proches
Conation Volition Cetanā Natural science Sciences Science of scienceCiter ce document
Abdelmajid Ben Hamadou et al., « Recognition and translation Arabic-French of Named Entities: case of the Sport places », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10670/1.34uqmi
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Résumé
The recognition of Arabic Named Entities (NE) is a problem in different domains of Natural Language Processing (NLP) like automatic translation. Indeed, NE translation allows the access to multilingual in-formation. This translation doesn't always lead to expected result especially when NE contains a person name. For this reason and in order to ameliorate translation, we can transliterate some part of NE. In this context, we propose a method that integrates translation and transliteration together. We used the linguis-tic NooJ platform that is based on local grammars and transducers. In this paper, we focus on sport domain. We will firstly suggest a refinement of the typological model presented at the MUC Conferences we will describe the integration of an Arabic transliteration module into translation system. Finally, we will detail our method and give the results of the evaluation.