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Artificial Intelligence Review

, Volume 52, Issue 4, pp 2475–2532 | Cite as

Arabic word sense disambiguation: a review

  • Bilel ElayebEmail author
Article

Abstract

Word sense disambiguation (WSD) is a specific task of computational linguistics which aims at automatically identifying the correct sense of a given ambiguous word from a set of predefined senses. In WSD the goal is to tag each ambiguous word in a text with one of the senses known a priori. In Arabic, the main cause of word ambiguity is the lack of diacritics of the most digital documents so the same word can occur with different senses. In this paper, we introduce the reader to the motivation for solving the ambiguity of Arabic words and we detail a description of the task. We overview supervised, unsupervised, semi-supervised and knowledge-based approaches. The evaluation of Arabic WSD systems is also discussed. Finally, we discuss open problems and future directions.

Keywords

Word sense disambiguation Arabic WSD Polysemous words Lexical semantics Lexical ambiguity Sense annotation Semantic annotation 

Notes

Acknowledgements

We thank the anonymous reviewers for their constructive comments, which significantly enhanced the quality of this manuscript during reviewing process. The author wish to thank Catherine Joseph who revised the paper and improved its English.

References

  1. Abdelali A, Cowie JR, Farwell D, Ogden W (2004) UCLIR: a multilingual information retrieval tool. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artif 8(22):103–110. http://nlp.uned.es/ia-mlia/iberamia2002/papers/mlia10.pdf
  2. Abualhaija S, Zimmermann K-H (2016) D-bees: a novel method inspired by bee colony optimization for solving word sense disambiguation. Swarm Evol Comput 27:188–195CrossRefGoogle Scholar
  3. Agirre E, Stevenson M (2006) Knowledge sources for WSD. In: Agirre E, Edmonds P (eds) Word sense disambiguation: algorithms and applications. Springer, New York, pp 217–251CrossRefGoogle Scholar
  4. Ahmed AF (1999) Developing an Arabic Parser in a multilingual machine translation system, Ph.D. Thesis, The Cairo University, EgyptGoogle Scholar
  5. Albared M, Omar N, Ab Aziz MJ (2009) Classifiers combination to Arabic morphosyntactic disambiguation. In: Proceedings of the international conference on electrical engineering and informatics, Selangor, Malaysia, IEEE Xplore, pp 163–171.  https://doi.org/10.1109/iceei.2009.5254797
  6. Albared M, Omar N, Ab Aziz MJ, Nazri MZA (2010) Automatic part of speech tagging for Arabic: an experiment using bigram hidden Markov model. In: Proceedings of the 5th international conference on rough set and knowledge technology, Beijing, China, pp 361–370Google Scholar
  7. Al-Daoud E, Basata A (2009) A framework to automate the parsing of Arabic language sentences. Int Arab J Inf Technol 6(2):191–195Google Scholar
  8. Al-Echikh A (1998) Encyclopedia of the six major citation collections. Dar-esselem, RyadhGoogle Scholar
  9. Alkuhlani S, Habash N, Roth R (2013) Automatic morphological enrichment of a morphologically underspecified treebank. In: Clemmer A, Post M (eds) Proceedings of the 2013 conference of the North American chapter of the association for computational linguistics: human language technologies, HLT-NAACL, Omnipress of Madison, Wisconsin, USA, pp 460–470Google Scholar
  10. Al-Maghasbeh MKA, Bin Hamzah MP (2015) Extract the semantic meaning of prepositions at Arabic texts: an exploratory study. Int J Comput Trends Technol 30(3):116–120CrossRefGoogle Scholar
  11. Aloulou C, Belguith LH, Kacem AH, Ben Hamadou A (2004) Conception et développement du système MASPAR d’analyse de l’arabe selon une approche agent. In: 14ème congrès francophone AFRIF-AFIA de reconnaissance des formes et d’intelligence artificielle, Toulouse, France, 28–30 janvier 2004Google Scholar
  12. Alpaydin E (2004) Introduction to machine learning. MIT Press, CambridgezbMATHGoogle Scholar
  13. Alqudsi A, Omar N, Shaker K (2014) Arabic machine translation: a survey. Artif Intell Rev 42(4):549–572.  https://doi.org/10.1007/s10462-012-9351-1 CrossRefGoogle Scholar
  14. Alrahabi M (2010) EXCOM-2: plateforme d’annotation automatique de catégories sémantiques. Applications à la catégorisation des citations en Français et en Arabe. Thèse de doctorat, Université Paris-Sorbonne, Paris, FranceGoogle Scholar
  15. Alsaeedan W, Menai MEB (2016) A novel genetic algorithm for the word sense disambiguation problem. In: Proceedings of the 29th Canadian conference on artificial intelligence (Canadian AI 2016). Springer, LNCS 9673, pp 162–167Google Scholar
  16. Al-Serhan H, Al-Shalabi R, Kanaan G (2003) New approach for extracting Arabic roots. In: Proceedings of the international Arab conference on information technology (ACIT’2003), Alexandria, Egypt, pp 42–59Google Scholar
  17. Al-Sulaiti L, Atwell E (2006) The design of a corpus of contemporary Arabic. Int J Corpus Linguist 11:135–171CrossRefGoogle Scholar
  18. Apidianaki M (2009) Data-driven semantic analysis for multilingual WSD and lexical selection in translation. In: Proceedings of the 12th conference of the European chapter of the Association for Computational Linguistics. The Association for Computer Linguistics, Athens, Greece, pp 77–85Google Scholar
  19. Apidianaki M, Gong L (2015) LIMSI: translations as source of indirect supervision for multilingual all-words sense disambiguation and entity linking. In: Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015), pp 298–302Google Scholar
  20. Ashraf J, Iqbal N, Sarfraz Khattak N, Mohsin Zaidi A (2010) Speaker independent Urdu speech recognition using HMM. In: 15th international conference on applications of Natural Language to Information Systems (NLDB) Cardiff, UK, pp 140–148Google Scholar
  21. Atkins S (1993) Tools for computer-aided corpus lexicography: the Hector project. Acta Linguist Hung 41:5–72Google Scholar
  22. Attia M (2008) Handling Arabic morphological and syntactic ambiguity within the LFG framework with a view to machine translation. Ph.D. Thesis, University of Manchester, UKGoogle Scholar
  23. Attia M, Rashwan M, Ragheb A, Al-Badrashiny M, Al-Basoumy H (2008) A compact Arabic lexical semantics language resource based on the theory of semantic fields. In: Proceedings of the 6th international conference on language resources and evaluation, Marrakech, Morocco, pp 13–18Google Scholar
  24. Attia M, Samih Y, Shaalan K, Genabith J (2012) The floating Arabic dictionary: an automatic method for updating a lexical database through the detection and lemmatization of the unknown words. In: Proceedings of the international conference on computational linguistics (COLING), Mumbai, India, pp 83–96. http://www.aclweb.org/anthology/C12-1006
  25. Atwell E, Al-Sulaiti L, Al-Osaimi S, Abu Shawar B (2004) A review of Arabic corpus analysis tools. In: Proceedings of the 11th conference on natural language processing (TALN 2004). http://www.comp.leeds.ac.uk/eric/atwell04talnArabic.pdf
  26. Ayed R, Bounhas I, Elayeb B, Evrard F, Bellamine Ben Saoud N (2012a) Arabic morphological analysis and disambiguation using a possibilistic classifier. In: Proceedings of the 8th international conference on intelligent computing (ICIC2012), LNAI 7390, Springer-Verlag, Berlin, Germany, pp 274–279. http://dx.doi.org/10.1007/978-3-642-31576-3_36
  27. Ayed R, Bounhas I, Elayeb B, Evrard F, Bellamine Ben Saoud N (2012b) A possibilistic approach for the automatic morphological disambiguation of Arabic texts. In: Proceedings of the 13th international conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD2012). IEEE Computer Society, Kyoto, Japan, pp 187–194.  https://doi.org/10.1109/snpd.2012.21
  28. Ayed R, Bounhas I, Elayeb B, Bellamine Ben Saoud N, Evrard F (2014a) Improving Arabic texts morphological disambiguation using possibilistic classifier. In: Proceedings of the 19th international conference on application of natural language to information systems (NLDB). LNCS 8455, Springer International Publishing, Switzerland, pp 138–147.  https://doi.org/10.1007/978-3-319-07983-7_18
  29. Ayed R, Bounhas I, Elayeb B, Bellamine Ben Saoud N, Evrard F (2014b) Evaluation d’une approche possibiliste pour la désambiguïsation des textes arabes. In: Actes de Traitement Automatique des Langue Naturelles (TALN’2014). ATALA, pp 316–327. http://www.aclweb.org/anthology/F/F14/F14-1028.pdf
  30. Azmi AM, Al-Thanyyan S (2012) A text summarizer for Arabic. Comput Speech Lang 26(4):260–273.  https://doi.org/10.1016/j.csl.2012.01.002 CrossRefGoogle Scholar
  31. Banerjee S, Pedersen T (2003) Extended gloss overlaps as a measure of semantic relatedness. In: Proceedings of the 18th international joint conference on artificial intelligence, San Francisco, CA, USA, pp 805–810Google Scholar
  32. Bar-Hillel Y (1960) Automatic translation of languages, advances in computers. Academic Press, New YorkzbMATHGoogle Scholar
  33. Ben Amar BF, Gargouri B, Ben Hamadou A (2011. Domain ontology generation using LMF standardized dictionary structure. In: The 6th international conference on software and data technologies (ICSOFT2011), Seville, Spain, pp 396–401Google Scholar
  34. Ben Amar BF, Gargouri B, Ben Hamadou A (2013) Domain ontology enrichment based on the semantic component of LMF-standardized dictionaries. In: Proceedings of knowledge science, engineering and management—6th international conference, KSEM 2013, LNAI 8041, Springer-Verlag Berlin Heidelberg, pp 404–419.  https://doi.org/10.1007/978-3-642-39787-5_33
  35. Ben Khiroun O, Elayeb B, Bounhas I, Evrard F, Bellamine Ben Saoud N (2012) A possibilistic approach for automatic word sense disambiguation. In: Proceedings of the 24th conference on computational linguistics and speech processing (ROCLING 2012), Chung-Li, Taiwan, China, pp 261–27. http://aclweb.org/anthology/O/O12/O12-1025.pdf
  36. Ben Khiroun O, Ayed R, Elayeb B, Bounhas I, Bellamine Ben Saoud N, Evrard F (2014a) Towards a new standard Arabic test collection for mono- and cross-language information retrieval. In: Proceedings of the 19th international conference on application of natural language to information systems (NLDB). LNCS 8455, Springer International Publishing, Switzerland, pp 168–171.  https://doi.org/10.1007/978-3-319-07983-7_23
  37. Ben Khiroun O, Elayeb B, Bounhas I, Evrard F, Bellamine Ben Saoud N (2014b) Improving query expansion by automatic query disambiguation in intelligent information retrieval. In: Proceedings of the sixth international conference on agents and artificial intelligence (ICAART). ESEO, Angers, Loire Valley, France, pp 153–160Google Scholar
  38. Ben Khiroun O, Elayeb B, Bellamine Ben Saoud N (2018) Towards a query translation disambiguation approach using possibility theory. In: Proceedings of the 10th international conference on agents and artificial intelligence (ICAART). Funchal, Madeira, Portugal, pp 606–613Google Scholar
  39. Ben Romdhane W, Elayeb B, Bounhas I, Evrard F, Bellamine Ben Saoud N (2013) A possibilistic query translation approach for cross-language information retrieval. In: Proceedings of the 9th international conference on intelligent computing (ICIC2013), LNCS 7996, Springer-Verlag, Berlin, Germany, pp 73–82. http://dx.doi.org/10.1007/978-3-642-39482-9_9
  40. Ben Romdhane W, Elayeb B, Bellamine Ben Saoud N (2017) A discriminative possibilistic approach for query translation disambiguation. In: Proceedings of the 22nd international conference on applications of natural language to information systems (NLDB2017), LNCS 10260, Springer, pp 366–379.  https://doi.org/10.1007/978-3-319-59569-6_45
  41. Bernard JRL (ed) (1986) Macquarie Thesaurus. Macquarie, SydneyGoogle Scholar
  42. Beseiso M, Ahmad AR, Ismail R (2010) A survey of Arabic language support in semantic web. Int J Comput Appl 9(1):35–40Google Scholar
  43. Black W, Elkateb S, Rodriguez H, Alkhalifa M, Vossen P, Pease A, Fellbaum C (2006) Introducing the Arabic WordNet project. In: Proceedings of the third international WordNet conference (GWC 2006), South Jeju Iseland, Korea, pp 295–299. http://semanticweb.kaist.ac.kr/conference/gwc/pdf2006/74.pdf
  44. Blansché A (2006) Classification non supervisée avec pondération d’attributs par des méthodes évolutionnaires. Ph.D. thesis, Louis Pasteur University, FranceGoogle Scholar
  45. Boudabous MM, Belguith Hadrich L, Sadat F (2013) Exploiting the Arabic Wikipedia for semi-automatic construction of a lexical ontology. Int J Metadata Semant Ontol 8(3):245–253CrossRefGoogle Scholar
  46. Boudchiche M, Mazroui A, Ould Abdallahi Ould Bebah M, Lakhouaja A, Boudlal A (2016) AlKhalil Morpho Sys 2: a robust Arabic morpho-syntactic analyzer. J King Saud Univ Comput Inf Sci. Available online 6 June 2016. http://dx.doi.org/10.1016/j.jksuci.2016.05.002
  47. Bouhriz N, Benabbou F, Ben Lahmar E (2016) Word sense disambiguation approach for Arabic text. Int J Adv Comput Sci Appl 7(4):381–385Google Scholar
  48. Bounhas I (2012) Construction et intégration d’ontologies pour la cartographie socio-sémantique de fonds documentaires arabes guidée par la fiabilité de l’information. Ph.D. Thesis, University of Tunis-ElManar, TunisiaGoogle Scholar
  49. Bounhas I, Elayeb B, Evrard F, Slimani Y (2010) Towards a computer study of the reliability of Arabic stories. J Am Soc Inf Sci Technol 61(8):1686–1705.  https://doi.org/10.1002/asi.21356 CrossRefGoogle Scholar
  50. Bounhas I, Elayeb B, Evrard F, Slimani Y (2011a) Organizing contextual knowledge for Arabic text disambiguation and terminology extraction. Knowl Org J 38(6):473–490Google Scholar
  51. Bounhas I, Elayeb B, Evrard F, Slimani Y (2011b) ArabOnto: experimenting a new distributional approach for Building Arabic Ontological Resources. Int J Metadata, Semant Ontol 6(2):81–95.  https://doi.org/10.1504/IJMSO.2011.046578 CrossRefGoogle Scholar
  52. Bounhas I, Lahbib W, Elayeb B (2014a) Arabic domain terminology extraction: a literature review. In: Proceedings of the 13th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE). LNCS 8841, Springer-Verlag Berlin Heidelberg, Amantea, Italy, pp 792–799.  https://doi.org/10.1007/978-3-662-45563-0_51
  53. Bounhas I, Lahbib W, Elayeb B (2014b) Extraction de terminologies en langue Arabe: un état de l’art. In: Proceedings of Cinquième Journées Francophones sur les Ontologies (JFO). Hammamet, Tunisia, pp 271–282Google Scholar
  54. Bounhas I, Ayed R, Elayeb B, Ben Saoud NB (2015a) A hybrid possibilistic approach for Arabic full morphological disambiguation. Data Knowl Eng 100(Part B):240–254.  https://doi.org/10.1016/j.datak.2015.06.008 CrossRefGoogle Scholar
  55. Bounhas I, Ayed R, Elayeb B, Evrard F, Ben Saoud NB (2015b) Experimenting a discriminative possibilistic classifier with reweighting model for Arabic morphological disambiguation. Comput Speech Lang 33(1):67–87.  https://doi.org/10.1016/j.csl.2014.12.005 CrossRefGoogle Scholar
  56. Bounhas I, Elayeb B, Evrard F, Slimani Y (2015c) Information reliability evaluation: from Arabic storytelling to computer sciences. ACM J Comput Cult Herit. Article 14. http://dx.doi.org/10.1145/2693847
  57. Bousmaha KZ, Abdoun SC, Belguith LH, Rahmouni MK (2013) Une Approche de désambiguïsation morpholexicale évaluée sur l’analyseur morphologique Alkhalil. Revue RIST 20(2):32–46Google Scholar
  58. Bouzoubaa K (2011) Extending AWN with nouns and verbs and realizing a web prototype. In: Proceedings of the experts meeting on Arabic ontologies and semantic networks, Tunis, July 26–28, 2011Google Scholar
  59. Boyd-Graber J, Fellbaum C, Osherson D, Schapire R (2006) Adding sense, weighted connections to WordNet. In: Proceedings of the 3rd international WordNet conference, South Jeju Iseland, Korea, pp 29–35. http://semanticweb.kaist.ac.kr/conference/gwc/pdf2006/53.pdf
  60. Brill E (1993) A corpus-based approach to language learning. Thesis non-published, University of Pennsylvania, Department of Computer and Information Science, PennsylvaniaGoogle Scholar
  61. Brown PF, Pietra SAD, Pietra VJD, Mercer RL (1991) Word-sense disambiguation using statistical methods. In: Proceedings of the 29th annual meeting of the association for computational linguistics. The Association for Computational Linguistics, Berkeley, California, USA, pp 264–270Google Scholar
  62. Bruce R, Wiebe J (1994) Word-sense disambiguation using decomposable models. In: Proceedings of the 32nd annual meeting of the association for computational linguistics (ACL, Las Cruces, NM), pp 139–145Google Scholar
  63. Buckwalter T (2004) Buckwalter Arabic morphological analyzer version 2.0. Online publication, linguistic data consortium (LDC) catalog number LDC2002L49. ISBN: 1-58563-257-0, from http://www.nongnu.org/aramorph/
  64. Cai JF, Lee WS, Teh YW (2007) NUS-ML: Improving word sense disambiguation using topic features. In: Proceedings of the 4th international workshop on semantic evaluations (SemEval2007), pp 249–252Google Scholar
  65. Calzolari N, Choukri K, Declerck T, Loftsson H, Maegaard B, Mariani J, Moreno A, Odijk J, Piperidis S (eds) (2014) In: Proceedings of LREC 2014, ninth international conference on language resources and evaluation, Reykjavik, IcelandGoogle Scholar
  66. Chan YS, Ng HT (2005) Scaling up word sense disambiguation via parallel texts. In: Proceedings of the 20th national conference on artificial intelligence and the seventeenth innovative applications of artificial intelligence conference. AAAI Press/The MIT Press, Pittsburgh, Pennsylvania, USA, pp 1037–1042Google Scholar
  67. Charniak E, Blaheta D, Ge N, Hall K, Hale J, Johnson M (2000) Bllip 1987–89 WSJ corpus release 1. Tech. rep. LDC2000T43. Linguistic Data Consortium (Philadelphia, PA)Google Scholar
  68. Cheragui MA (2012) Une analyse morphologique de la langue Arabe basée sur l’aide multicritère de la decision. In: CTIC 2012, Université d’Adrar, Algérie. http://ceur-ws.org/Vol-942/paper_13.pdf
  69. Chklovski T, Mihalcea R (2002) Building a sense tagged corpus with Open Mind Word Expert. In: Proceedings of the SIGLEX/SENSEVAL workshop on word sense disambiguation: recent successes and future directions, Philadelphia, pp 116–122. http://www.aclweb.org/anthology/W02-0817
  70. Chklovski T, Mihalcea R, Pedersen T, Purandare A (2004) The Senseval-3 multilingual English–Hindi lexical sample task. In: Proceedings of the third international workshop on the evaluation of systems for the semantic analysis of text (Senseval-3), Barcelona, Spain, pp 5–8. http://www.d.umn.edu/~tpederse/Pubs/senseval3-3.pdf
  71. Clear J (1993) The British national corpus. In: Delany P, Landow GP (eds) The digital word: text-based computing in the humanities. MIT Press, Cambridge, pp 163–187Google Scholar
  72. Clive H (2004) Modern Arabic: structures, functions, and varieties. Georgetown University Press. ISBN: 1-58901-022-1Google Scholar
  73. Cohen J (1968) Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit. Psychol Bull 70(4):213–220CrossRefGoogle Scholar
  74. Cohn T (2003) Performance metrics for word sense disambiguation. In: Proceedings of the Australasian language technology workshop. The Australasian Language Technology Association, Melbourne, Australia, pp 86–93Google Scholar
  75. Croft W (1983) Experiments with representation in a document retrieval system. Res Dev 2(1):1–21Google Scholar
  76. Cuadros M, Rigau G (2006) Quality assessment of large scale knowledge resources. In: Proceedings of the 2006 conference on empirical methods in natural language processing (EMNLP), Sydney, Australia, pp 534–541Google Scholar
  77. Dagan I, Itai A (1994) Word sense disambiguation using a second language monolingual corpus. Comput Linguist 20(4):563–596Google Scholar
  78. Daimi K (2001) Identifying syntactic ambiguities in single-parse Arabic sentence. Comput Humanit 35:333–349CrossRefGoogle Scholar
  79. Daoud D (2009) Synchronized morphological and syntactic disambiguation for Arabic. Res Comput Sci Spec Issue Adv Comput Linguist 41:73–86Google Scholar
  80. Daoud M, Daoud D (2009) Arabic disambiguation using dependency grammar. Presented at the poster sessions of Traitement Automatique des Langues Naturelles, Senlis, Oise, FranceGoogle Scholar
  81. Darwish K, Oard DW (2002) Term selection for searching printed Arabic. In: Proceedings of the 25th ACM SIGIR conference on research and development in information retrieval. ACM, New York, USA, pp 261–268. http://doi.acm.org/10.1145/564376.564423
  82. Debili F, Achour H, Souissi E (2002) La langue Arabe et l’ordinateur: de l’étiquetage grammatical à la voyellation automatique. In: Correspondances de l’IRMC, No 71, Tunis, TunisiaGoogle Scholar
  83. Demsar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1–30MathSciNetzbMATHGoogle Scholar
  84. Derwester S, Dumais ST, Furnas GW, Landauer TK, Harshmann R (1990) Indexing by latent semantic analysis. J Am Soc Inf Sci 41:391–407CrossRefGoogle Scholar
  85. Desclés JP (2006) Contextual exploration processing for discourse and automatic annotations of texts. In: Proceedings of the 19th international FLAIRS conference. AAAI Press, Florida, USA, pp 281–284. https://www.aaai.org/Papers/FLAIRS/2006/Flairs06-055.pdf
  86. Di Eugenio B (2000) On the usage of kappa to evaluate agreement on coding tasks. In: Proceedings of LREC, Athens, Greece, pp 441–444Google Scholar
  87. Diab MT (2004a) An unsupervised approach for bootstrapping Arabic sense tagging. In: Proceedings of workshop on computational approaches to Arabic script-based languages, Semitic’04, ACL, Stroudsburg, PA, USA, pp 43–50Google Scholar
  88. Diab M (2004b) Word sense disambiguation within a multilingual framework. Ph.D. Thesis, University of Maryland, USAGoogle Scholar
  89. Diab M, Hacioglu K, Jurafsky D (2004) Automatic tagging of Arabic text: from raw text to base phrase chunks. Short paper. In: Proceedings of the conference of the North American chapter of the association for computational linguistics: human language technologies (HLT-NAACL), Stroudsburg, PA, USA: Association for Computational Linguistics, pp 149–152Google Scholar
  90. Diab M, Alkhalifa M, Elkateb S (2007a) Semeval 2007 task 18: Arabic semantic labeling. In: Proceedings of the 4th international workshop on semantic evaluations (SemEval-2007), pp 93–98. http://www.aclweb.org/anthology/S07-1017
  91. Diab M, Hacioglu K, Jurafsky D (2007b) Automated methods for processing Arabic text: from tokenization to base phrase chunking. Book chapter, Arabic computational morphology: knowledge-based and empirical methods. Editors Antal van den Bosch and Abdelhadi Soudi. Kluwer/Springer PublicationsGoogle Scholar
  92. Diehl F, Gales MJF, Tomalin M, Woodland PC (2012) Morphological decomposition in Arabic ASR systems. Comput Speech Lang 26(4):229–243.  https://doi.org/10.1016/j.csl.2011.12.001 CrossRefGoogle Scholar
  93. Dukes K (2013) Statistical parsing by machine learning from a classical Arabic treebank, Ph.D. Thesis, The University of Leeds School of ComputingGoogle Scholar
  94. Edmonds P, Hirst G (2002) Near-synonymy and lexical choice. Comput Linguist 28(2):105–144CrossRefGoogle Scholar
  95. Eid SM, Al-Said AB, Wanas NM, Rashwan MA, Hegazy NH (2010) A comparative study of Rocchio classifier applied to supervised WSD using Arabic lexical samples. In: Proceedings of the tenth conference of language engineering (SEOLEe’2010), Cairo, Egypt, December 15–16, 2010Google Scholar
  96. Elayeb B, Bounhas I (2016) Arabic cross-language information retrieval: a review. ACM Trans Asian Low-Resour Lang Inf Process. Article 18. http://dx.doi.org/10.1145/2789210
  97. Elayeb B, Evrard F, Zaghdoud M, Ben Ahmed M (2009) Towards an intelligent possibilistic web information retrieval using multiagent system. Interact Technol Smart Educ Spec Issue: New Learn Support Syst 6(1):40–59.  https://doi.org/10.1108/17415650910965191 CrossRefGoogle Scholar
  98. Elayeb B, Bounhas I, Ben Khiroun O, Evrard F, Bellamine Ben Saoud N (2011) Towards a possibilistic information retrieval system using semantic query expansion. Int J Intell Inf Technol 7(4):1–25.  https://doi.org/10.4018/jiit.2011100101 CrossRefGoogle Scholar
  99. Elayeb B, Bounhas I, Ben Khiroun O, Evrard F, Bellamine Ben Saoud N (2015a) A comparative study between possibilistic and probabilistic approaches for monolingual word sense disambiguation. Knowl Inf Syst 44(1):91–126.  https://doi.org/10.1007/s10115-014-0753-z CrossRefGoogle Scholar
  100. Elayeb B, Bounhas I, Ben Khiroun O, Bellamine Ben Saoud N (2015b) Combining semantic query disambiguation and expansion to improve intelligent information retrieval. In: Duval B, van den Herik J, Loiseau S, Filipe J (eds) ICAART2014 revised selected papers, LNAI 8946, pp 280–295.  https://doi.org/10.1007/978-3-319-25210-0_17
  101. Elayeb B, Ben Romdhane W, Bellamine Ben Saoud N (2018) Towards a new possibilistic query translation tool for cross-language information retrieval. Multim Tools Appl 77(2):2423–2465.  https://doi.org/10.1007/s11042-017-4398-2 CrossRefGoogle Scholar
  102. Elghamry K (2006) Sense and homograph disambiguation in Arabic using coordination-based semantic similarity. In: Proceedings of AUC-OXFORD conference on language and linguistics, Cairo, Egypt, March 2006Google Scholar
  103. El-Imam YA (2004) Phonetization of Arabic: rules and algorithms. Comput Speech Lang 18(4):339–373.  https://doi.org/10.1016/S0885-2308(03)00035-4 CrossRefGoogle Scholar
  104. Elmougy S, Taher H, Noaman H (2008) Naïve Bayes classifier for Arabic word sense disambiguation. In: Proceeding of the 6th international conference on informatics and systems, pp 16–21Google Scholar
  105. Faidi K, Ayed R, Bounhas I, Elayeb B (2014) Comparing Arabic NLP tools for hadith classification. In: Proceedings of the second international conference on Islamic applications in computer science and technologies (IMAN), Amman, JordanGoogle Scholar
  106. Farag A, Nürnberger A (2008) Arabic/English word translation disambiguation using parallel corpora and matching schemes. In: Proceedings of 12th annual conference of the European association for machine translation, pp 6–11Google Scholar
  107. Fellbaum C (ed) (1998) WordNet: an electronic lexical database. MIT Press, Cambridge zbMATHGoogle Scholar
  108. Francopoulo G (2013) LMF lexical markup framework. Wiley-ISTE, HobokenCrossRefGoogle Scholar
  109. Gal Y (2002) An HMM approach to vowel restoration in Arabic and Hebrew. In: Proceedings of the SIGLEX/SENSEVAL workshop on word sense disambiguation: recent successes and future directions, Philadelphia, USA. http://aclweb.org/anthology/W/W02/W02-0504.pdf
  110. Gale WA, Church KW (1993) A program for aligning sentences in bilingual corpora. Comput Linguist 19(1):75–102Google Scholar
  111. Girju R, Badulescu A, Andmoldovan D (2003) Learning semantic constraints for the automatic discovery of part-whole relations. In: Proceedings of the conference of the North American chapter of the association for computational linguistics on human language technology, Edmonton, Alta, Canada, pp 1–8Google Scholar
  112. Graff D (2003) English gigaword. Tech. rep. LDC2003T05. Linguistic Data Consortium, Philadelphia, PAGoogle Scholar
  113. Gruber TR (1993) Toward principles for the design of ontologies used for knowledge sharing. In: Proceedings of the international workshop on formal ontology, Padova, ItalyGoogle Scholar
  114. Habash N, Rambow O (2005) Arabic Tokenization, part-of-speech tagging and morphological disambiguation in one fell swoop. In: Proceedings of the 43rd annual meeting on association for computational linguistics, Stroudsburg, PA, USA, pp 573–580Google Scholar
  115. Habash N, Rambow O (2007) Arabic diacritization through full morphological tagging. Human language technologies: the conference of the North American chapter of the association for computational linguistics. Stroudsburg, PA, USA, pp 53–56Google Scholar
  116. Habash N, Faraj R, Roth R (2009a) Syntactic annotation in the Columbia Arabic Treebank. In: Proceedings of MEDAR second international conference on Arabic language resources and tools, pp 125–132Google Scholar
  117. Habash N, Roth R, Rambow O, Eskander R, Tomeh N (2013) Morphological analysis and disambiguation for dialectal Arabic. In: Proceedings of the 2013 conference of the North American Chapter of the association for computational linguistics: human language technologies (NAACL-HLT), Atlanta, GA, USA, pp 426–432. http://www.aclweb.org/anthology/N13-1044
  118. Hadni M, Ouatik S, Lachkar A (2013) Hybrid part-of-speech tagger for non-vocalized Arabic text. Int J Nat Lang Comput 2(6):1–15CrossRefGoogle Scholar
  119. Hadni M, El Alaoui S, Lachkar A (2016) Word sense disambiguation for Arabic text categorization. Int Arab J Inf Technol 13(1):215–222Google Scholar
  120. Hajic J (2000) Morphological tagging: data vs. dictionaries. In: Proceedings of the 1st North American chapter of the association for computational linguistics conference, Stroudsburg, PA, USA, pp 94–101Google Scholar
  121. Harabagiu S, Miller G, Moldovan D (1999) WordNet 2—a morphologically and semantically enhanced resource. In: Proceedings of the ACL SIGLEX workshop: standardizing lexical resources, pp 1–8Google Scholar
  122. Harman D (1986) An experimental study of factors important in document ranking. In: Proceedings of the 9th annual international ACM SIGIR conference on research and development in information retrieval, pp 186–193Google Scholar
  123. Hoceini Y, Abbas M (2009a) Morphosyntactical disambiguation model of Arabic based on a multi-criteria approach. In: Arabnia HR, David de la Fuenteand Jose AO (eds) International conference on artificial intelligence, Las Vegas Nevada, USA, vol 2, pp 756–762Google Scholar
  124. Hoceini Y, Abbas M (2009b) Une analyse multicritère de l’arabe. In: Journées d’étude du FSP France-Maghreb : Pratiques langagière au Maghreb : corpus et applications, Paris, FranceGoogle Scholar
  125. Hoceini Y, Abbas M (2009c) Méthodologie Multicritère de Désambiguïsation Morphosyntaxique de la langue Arabe. In the 3rd international conference on Arabic language processing. In: Proceedings of CITALA’09, Rabat Morocco, pp 89–95Google Scholar
  126. Hoceini Y, Cheragui MA, Abbas M (2011) Towards a new approach for disambiguation in NLP by multiple criterian decision-aid. Prague Bull Math Linguist 95:19–32.  https://doi.org/10.2478/v10108-011-0002-5 CrossRefGoogle Scholar
  127. Ide N, Suderman K (2006) Integrating linguistic resources: the American National corpus model. In: Proceedings of the 5th language resources and evaluation conference (LREC, Genoa, Italy)Google Scholar
  128. Ide N, Veronis J (1998) Word sense disambiguation: the state of the art. Comput Linguist 24(1):1–40Google Scholar
  129. Jalabert F, Lafourcade M (2004) Nommage de sens à l’aide des vecteurs conceptuels. RFIA’04: Reconnaissance des Formes et Intelligence Artificielle. Toulouse, France, pp 539–547Google Scholar
  130. Jarrar M (2011) Building a Formal Arabic ontology methodology and progress. In: Proceedings of the experts meeting on Arabic ontologies and semantic networks. Alecso Arab League, April 26–28, Tunis, TunisiaGoogle Scholar
  131. Jelinek F (1976) Continuous speech recognition by statistical methods. In: Proceedings of the IEEEE, pp 532–556Google Scholar
  132. Jiang J, Conrath D (1997) Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings on international conference on research in computational linguistics, Taiwan, pp 1–15. http://arxiv.org/pdf/cmp-lg/9709008.pdf
  133. Jurafsky D, Martin JH (2000) Speech and language processing. Prentice Hall, Upper Saddle RiverGoogle Scholar
  134. Jurafsky D, Martin JH (2009) Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition. Pearson Prentice Hall, Upper Saddle RiverGoogle Scholar
  135. Khemakhem A, Elleuch I, Gargouri B, Ben Hamadou A (2009) Towards an automatic conversion approach of editorial Arabic dictionaries into LMF-ISO 24613 standardized mode. In: The 2nd international conference on Arabic language resources and tools (MEDAR), April 22–23, Cairo, EgyptGoogle Scholar
  136. Khoja Sh (2001) APT: Arabic part-of-speech tagger. In: Proceedings of student workshop at the second meeting of the North American association for computational linguistics, Carnegie Mellon University, Pennsylvania, USA. http://archimedes.fas.harvard.edu/mdh/arabic/NAACL.pdf
  137. Kilgarriff A (1997) I don’t believe in word senses. Comput Humanit 31(2):91–113CrossRefGoogle Scholar
  138. Kilgarriff A (2006) Word senses. In: Agirre E, Edmonds P (eds) Word sense disambiguation: algorithms and applications. Springer, New York, pp 29–46CrossRefGoogle Scholar
  139. Kilgarriff A, Yallop C (2000) What’s in a thesaurus? In: Proceedings of the 2nd conference on language resources and evaluation (LREC), Athens, Greece, pp 1371–1379Google Scholar
  140. Kirchhoff K, Vergyri D, Bilmes J, Duh K, Stolcke A (2006) Morphology-based language modeling for conversational Arabic speech recognition. Comput Speech Lang 20(4):589–608.  https://doi.org/10.1016/j.csl.2005
  141. Kucera H, Francis WN (1967) Computational analysis of present-day American English. Brown University Press, ProvidenceGoogle Scholar
  142. Lahbib W, Bounhas I, Elayeb B, Evrard F, Slimani Y (2013) An hybrid approach for arabic semantic relation extraction. In: Proceedings of the 26th international FLAIRS conference, Florida, USA, pp 315–320Google Scholar
  143. Lahbib W, Bounhas I, Elayeb B (2014) Arabic–English domain terminology extraction from aligned corpora. In: Proceedings of the 13th international conference on ontologies, DataBases, and applications of semantics (ODBASE). LNCS 8841, Springer-Verlag, Berlin, Heidelberg, pp 745–759.  https://doi.org/10.1007/978-3-662-45563-0_46
  144. Lahbib W, Bounhas I, Slimani Y (2015) Arabic terminology extraction and enrichment based on domain-specific text mining. In: Proceedings of the 27th IEEE international conference on tools with artificial intelligence, Vietri sul Mare, Italy, pp 340–347.  https://doi.org/10.1109/ictai.2015.59
  145. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174zbMATHCrossRefGoogle Scholar
  146. Leacock C, Chodorow M (1998) Combining local context and WordNet sense similarity for word sense identification. WordNet: Electron Lex Database 49(2): 265–283Google Scholar
  147. Leacock C, Towell G, Voorhees E (1993) Corpus-based statistical sense resolution. In: Proceedings of the ARPA workshop on human language technology (Princeton, NJ), pp 260–265Google Scholar
  148. Lefever E, Hoste V (2010) SemEval-2010 task 3: cross-lingual word sense disambiguation. In: Proceedings of the 5th international workshop on semantic evaluation. The Association for Computational Linguistics, Uppsala, Sweden, pp 15–20Google Scholar
  149. Lefever E, Hoste V (2013) SemEval-2013 task 10: cross-lingual word sense disambiguation. In: Second joint conference on lexical and computational semantics, volume 2: proceedings of the 7th international workshop on semantic evaluation. The Association for Computational Linguistics, Atlanta, Georgia, USA, pp 158–166Google Scholar
  150. Lesk M (1986) Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In Proceedings of the 5th annual international conference on systems documentation, New York, NY, USA, pp 24–26Google Scholar
  151. Levenshtein VI (1966) Binary codes capable of correcting deletions, insertions, and reversals. Cybern Control Theory 70(8):707–710Google Scholar
  152. Lin D (1998) An information-theoretic definition of similarity. In: Proceedings of 15th international conference on machine learning, pp 296–304. https://www.cs.swarthmore.edu/~richardw/cs65-f08/litreview/phyo.pdf
  153. Litkowski KC (2005) Computational lexicons and dictionaries. In: Brown KR (ed) Encyclopedia of language and linguistics, 2nd edn. Elsevier, Oxford, pp 753–761Google Scholar
  154. Luger GF (2004) Artificial intelligence: structures and strategies for complex problem-solving, 5th edn. Addison Wesley, ReadingGoogle Scholar
  155. Maamouri M, Bies A (2004) Developing an Arabic Treebank: methods, guidelines, procedures, and tools. In: Proceedings of the workshop on computational approaches to Arabic script-based languages. Association for Computational Linguistics, Stroudsburg, PA, USA, pp 2–9Google Scholar
  156. Maamouri M, Bies A, Buckwalter T, Mekki W (2004) The Penn Arabic Treebank: building a large-scale annotated Arabic Corpus. In: Proceedings of NEMLAR conference on Arabic language resources and tools, Cairo, Egypt, pp 102–109Google Scholar
  157. Maamouri M, Bies A, Kulick S (2009) Creating a methodology for large-scale correction of Treebank annotation: the case of the Arabic Treebank. In: Proceedings of MEDAR second international conference on Arabic language resources and tools, pp 138–144Google Scholar
  158. Maamouri M, Bies A, Kulick S, Tabessi D, Krouna S (2012) Egyptian Arabic Treebank PilotGoogle Scholar
  159. Magnini B, Cavaglià G (2000) Integrating subject field codes into WordNet. In: Proceedings of the 2nd conference on language resources and evaluation (LREC, Athens, Greece), pp 1413–1418Google Scholar
  160. Manion SL (2015) SUDOKU: treating word sense disambiguation & entity linking as a deterministic problem—via an unsupervised & iterative approach. In: Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015), pp 365–369Google Scholar
  161. Manning C, Schütze H (1999) Foundations of statistical natural language processing. MIT Press, CambridgezbMATHGoogle Scholar
  162. McCray AT, Nelson SJ (1995) The representation of meaning in the UMLS. Meth Inf Med 34:193–201CrossRefGoogle Scholar
  163. Menai MEB (2014) Word sense disambiguation using evolutionary algorithms-application to Arabic language. Comput Hum Behav 41:92–103.  https://doi.org/10.1016/j.chb.2014.06.021 CrossRefGoogle Scholar
  164. Menai MEB, Alsaeedan W (2012) Genetic algorithm for Arabic word sense disambiguation. In: Proceedings of the 13th ACIS international conference on software engineering, artificial intelligence, networking and parallel/distributed computing, pp 195–200Google Scholar
  165. Merhbene L, Zouaghi A, Zrigui M (2009) Arabic word sense disambiguation: the results. In: Proceedings of the student research workshop, RANLP 2009, Borovets, Bulgaria, pp 45–52Google Scholar
  166. Merhbene L, Zouaghi A, Zrigui M (2010a) Arabic word sense disambiguation. Proc Int Conf Agents Artif Intell, vol 1. Valencia, Spain, pp 652–655Google Scholar
  167. Merhbene L, Zouaghi A, Zrigui M (2010b) Ambiguous Arabic word disambiguation. In: Proceedings of the 11th ACIS international conference on software engineering, artificial intelligence, networking and parallel/distributed computing, pp 157–164Google Scholar
  168. Merhbene L, Zouaghi A, Zrigui M (2012) Lexical disambiguation of Arabic language: an experimental study. Polibits 46:49–54CrossRefGoogle Scholar
  169. Merhbene L, Zouaghi A, Zrigui M (2013a) A semi-supervised method for Arabic word sense disambiguation using a weighted directed graph. In: Proceedings of the international joint conference on natural language processing, pp 1027–1031Google Scholar
  170. Merhbene L, Zouaghi A, Zrigui M (2013b) An experimental study for some supervised lexical disambiguation methods of arabic language. In: Proceedings of the fourth international conference on information and communication technology and accessibility, ICTA 2013, Hammamet, Tunisia, October 24-26, 2013Google Scholar
  171. Merhbene L, Zouaghi A, Zrigui M (2014) Approche basée sur les arbres sémantiques pour la désambiguïsation lexicale de la langue arabe en utilisant une procédure de vote. In: Proceedings of the 21st conference on natural language processing (TALN 2014), Marseille, France, pp 281–290Google Scholar
  172. Merialdo B (1994) Tagging English text with a probabilistic model. Comput Linguist 20(2):155–171Google Scholar
  173. Miller GA, Beckwith R, Fellbaum CD, Gross D, Miller K (1990) WordNet: An online lexical database. Int J Lexicogr 3(4):235–244CrossRefGoogle Scholar
  174. Miller GA, Leacock C, Tengi R, Bunker RT (1993) A semantic concordance. In: Proceedings of the ARPA workshop on human language technology, pp 303–308Google Scholar
  175. Moro A, Navigli R (2015) SemEval-2015 task 13: multilingual all-words sense disambiguation and entity linking. In: Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015), pp 288–297Google Scholar
  176. Navigli R (2005) Semi-automatic extension of large-scale linguistic knowledge bases. In: Proceedings of the 18th Florida Artificial Intelligence Research Society conference (FLAIRS), Clearwater Beach, FL, USA, pp 548–553Google Scholar
  177. Navigli R (2009) Word sense disambiguation: a survey. ACM Comput Surv 41(2):1–69CrossRefGoogle Scholar
  178. Nelken R, Shieber S (2005) Arabic diacritization using weighed finite-state transducers. The ACL workshop on computational approaches to semitic language. Ann Arbor, Michigan, USA. https://dash.harvard.edu/bitstream/handle/1/2252610/Shieber_ArabicDiacritization.pdf?sequence=2
  179. Ng TH (1997) Getting serious about word sense disambiguation. In: Proceedings of the ACL SIGLEX workshop on tagging text with lexical semantics: why, what, and how? Washington D.C., pp 1–7Google Scholar
  180. Ng HT, Lee HB (1996) Integrating multiple knowledge sources to disambiguate word senses: an examplar-based approach. In: Proceedings of the 34th annual meeting of the association for computational linguistics (Santa Cruz, CA), pp 40–47Google Scholar
  181. Ng HT, Wang B, Chan YS (2003) Exploiting parallel texts for word sense disambiguation: an empirical study. In: Proceedings of the 41st annual meeting of the association for computational linguistics. The Association for Computational Linguistics, Sapporo, Japan, pp 455–462Google Scholar
  182. Nguyen T, Vogel S (2008) Context-based Arabic morphological analysis for machine translation. In: Proceedings of the twelfth conference on computational natural language learning, association for computational linguistics, Stroudsburg, PA, USA, pp 135–142Google Scholar
  183. Othman E, Shaalan K, Rafea A (2004) Towards resolving ambiguity in understanding Arabic sentence. In: Proceedings of the international conference on Arabic language resources and tools, NEMLAR, Cairo, Egypt, pp 118–122Google Scholar
  184. Pantel P (2005) Inducing ontological co-occurrence vectors. In: Proceedings of the 43rd annual meeting of the association for computational linguistics (Ann Arbor, MI), pp 125–132Google Scholar
  185. Pasha A, Al-Badrashiny M, Diab M, El Kholy A, Eskander R, Habash N, Pooleery M, Rambow O, Roth R (2014) MADAMIRA: a fast, comprehensive tool for morphological analysis and disambiguation of Arabic. In: Proceedings of the 9th international conference on language resources and evaluation (LREC’14), pp 1094–1101. http://www.lrec-conf.org/proceedings/lrec2014/pdf/593_Paper.pdf
  186. Pease A, Niles I, Li J (2002) The suggested upper merged ontology: a large ontology for the semantic Web and its applications. In: Proceedings of the AAAI-2002 workshop on ontologies and the semantic web (Edmonton, Alta., Canada)Google Scholar
  187. Pennacchiotti M, Pantel P (2006) Ontologizing semantic relations. In: Proceedings of the 44th association for computational linguistics (ACL) conference joint with the 21th conference on computational linguistics (COLING), Sydney, Australia, pp 793–800Google Scholar
  188. Philpot A, Hovy E, Pantel P (2005) The omega ontology. In: Proceedings of the IJCNLP workshop on ontologies and lexical resources (OntoLex, Jeju Island, South Korea), pp 59–66Google Scholar
  189. Pianta E, Bentivogli L, Girardi C (2002) MultiWordNet: developing an aligned multilingual database. In: Proceedings of the 1st international conference on global WordNet (Mysore, India), pp 21–25Google Scholar
  190. Pinto D, Rosso P, Benajiba Y, Ahachad A, Jimenez-Salazar H (2007) Word sense induction in the Arabic language: a self-term expansion based approach. In: Proceedings of ESOLE07. http://users.dsic.upv.es/~prosso/resources/PintoEtAl_ESOLE07.pdf
  191. Pradhan S, Loper E, Dligach D, Palmer M (2007) Semeval-2007 task-17: English lexical sample, SRL and all words. In: Proceedings of the 4th international workshop on semantic evaluations (SemEval2007), pp 87–92Google Scholar
  192. Proctor P (ed) (1978) Longman dictionary of contemporary English. Longman Group, HarlowGoogle Scholar
  193. Pustejovsky J (1991) The generative lexicon. Comput Linguist 17(4):409–441Google Scholar
  194. Pustejovsky J (1995) The generative lexicon. MIT Press, CambridgeGoogle Scholar
  195. Rashwan M, Albadrashiny M, Attia M, Abdou S, Rafea A (2011) A stochastic Arabic diacritizer based on a hybrid of factorized and unfactorized textual features. IEEE Trans Audio Speech Lang Process 19(1):166–175CrossRefGoogle Scholar
  196. Resnik P (1995) Using information content to evaluate semantic similarity in a taxonomy. In: Proceedings of the 14th international joint conference on artificial intelligence (IJCAI), Montreal, Canada, pp 448–453Google Scholar
  197. Resnik P, Smith NA (2003) The Web as a parallel corpus. Comput Linguist 29(3):349–380CrossRefGoogle Scholar
  198. Resnik P, Yarowsky D (1999) Distinguishing systems and distinguishing senses: new evaluation methods for word sense disambiguation. J Nat Lang Eng 5(2):113–133CrossRefGoogle Scholar
  199. Roget PM (1911) Roget’s international thesaurus, 1st edn. Cromwell, New YorkGoogle Scholar
  200. Roth R, Rambow O, Habash N, Diab M, Rudin C (2008) Arabic morphological tagging, diacritization, and lemmatization using lexeme models and feature ranking. In: Proceedings of the association for computational linguistics conference (ACL), Columbus, Ohio, USA, pp 117–120Google Scholar
  201. Said A, El-Sharqwi M, Chalabi A, Kamal E (2013) A hybrid approach for Arabic diacritization, in natural language processing and information systems 18th international conference on applications of natural language to information systems (NLDB) Salford, UK, pp 53–64Google Scholar
  202. Shaalan MA (2012) Handling unknown words in Arabic FST Morphology. In: Proceedings of the 10th international workshop on finite state methods and natural language processing, association for computational linguistics, Donostia–San Sebastian, pp 20–24Google Scholar
  203. Shallu C, Gupta V (2013) A survey of word-sense disambiguation effective techniques and methods for Indian languages. J Emerg Technol Web Intell 5(4):354–360Google Scholar
  204. Snyder B, Palmer M (2001) The English all-words task. In: Proceedings of SENSEVAL-2: second international workshop on evaluating word sense disambiguation systems, Toulouse, France. https://wiki.eecs.yorku.ca/course_archive/2010-11/F/6390/_media/snyder_1_.pdf
  205. Soanes C, Stevenson A (eds) (2003) Oxford dictionary of English. Oxford University Press, OxfordGoogle Scholar
  206. Soudani N, Bounhas I, Elayeb B, Slimani Y (2014a) Toward an Arabic ontology for Arabic word sense disambiguation based on normalized dictionaries. In: Proceedings of the 13th international conference on ontologies, DataBases, and applications of semantics (ODBASE). LNCS 8842. Springer-Verlag, Berlin, Heidelberg, pp 655–658.  https://doi.org/10.1007/978-3-662-45550-0_68
  207. Soudani N, Bounhas I, Elayeb B, Slimani Y (2014b) An LMF-based normalization approach of Arabic Islamic dictionaries for Arabic word sense disambiguation: application on hadith. In: Proceedings of the second international conference on Islamic applications in computer science and technologies (IMAN), Amman, JordanGoogle Scholar
  208. Soudani N, Bounhas I, Elayeb B, Slimani Y (2014c) Generic normalization approach of Arabic dictionaries for Arabic word sense disambiguation. In: Proceedings of Cinquième Journées Francophones sur les Ontologies (JFO), Hammamet, Tunisia, pp 309–315Google Scholar
  209. Soudani N, Bounhas I, Slimani Y (2016) Semantic information retrieval: a comparative experimental study of NLP tools and language resources for Arabic. In: Proceedings of the 28th international conference on tools with artificial intelligence (ICTAI), November 06-08, San Jose, CanadaGoogle Scholar
  210. Specia L, Nunes MGV, Stevenson M (2007) Learning expressive models for word sense disambiguation. In: Proceedings of the 45th annual meeting of the association of computational linguistics. The Association of Computational Linguistics, Prague, Czech Republic, pp 41–48Google Scholar
  211. Tlili-Guiassa Y, Merouani HF (2006) Désambiguïsation sémantique d’un texte Arabe. In: Proceedings of the 13th conference on natural language processing (TALN 2006), Leuven, Belgium, pp 41–60Google Scholar
  212. Tufis D, Ion R, Ide N (2004) Fine-grained word sense disambiguation based on parallel corpora, word alignment, word clustering and aligned WordNets. In: Proceedings of the 20th international conference on computational linguistics. The Association for Computational Linguistics, Geneva, Switzerland, pp 1312–1318Google Scholar
  213. Vapnik VN (1999) An overview of statistical learning theory. IEEE Trans Neural Netw 10(5):988–999.  https://doi.org/10.1109/72.788640 CrossRefGoogle Scholar
  214. Véronis J (2003a) Sense tagging: Does it make sense? In: Rayson P, Wilson A, McEnery T et al (eds) Proceedings of the Corpus linguistics 2001 conference. Peter Lang Frankfurt, Lancaster, UK. http://sites.univ-provence.fr/veronis/pdf/2001-lancaster-sense.pdf
  215. Vossen P (ed) (1998) EuroWordNet: a multilingual database with lexical semantic networks. Kluwer Academic Publishers, NorwellzbMATHGoogle Scholar
  216. Wilks Y, Slator B, Guthrie L (eds) (1996) Electric words: dictionaries, computers and meanings. MIT Press, CambridgeGoogle Scholar
  217. Wu Z, Palmer M (1994) Verb semantics and lexical selection. In: Proceedings of the 32nd annual meetings of the associations for computational linguistics, pp 133–138Google Scholar
  218. Yaseen et al (2006) Building annotated written and spoken Arabic LR’s in NEMLAR project. In: Proceedings of the 5th international conference on language resources and evaluation, Genoa-Italy, pp 533–538Google Scholar
  219. Yue Y (2012) A multi-classified method of support vector machine (SVM) based on entropy. Appl Mech Mater 241–244:1629–1632.  https://doi.org/10.4028/www.scientific.net/AMM.241-244.1629 CrossRefGoogle Scholar
  220. Zaghouani W (2014) Critical survey of the freely available Arabic corpora. In: Proceedings of LREC 2014, ninth international conference on language resources and evaluation, Reykjavik, Iceland, pp 1–8Google Scholar
  221. Zitouni I (ed) (2014) Natural language processing of semitic languages. Springer-Verlag, Berlin, HeidelbergGoogle Scholar
  222. Zitouni I, Sarikaya R (2009) Arabic diacritic restoration approach based on maximum entropy models. Comput Speech Lang 23(3):257–276.  https://doi.org/10.1016/j.csl.2008.06.001 CrossRefGoogle Scholar
  223. Zitouni I, Sorensen J, Sarikaya R (2006) Maximum entropy based restoration of Arabic diacritics. In: Proceedings of the 21st international conference on computational linguistics and 44th annual meeting of the association for computational linguistics (COLING-ACL), Sydney, Australia, pp 577–584. http://anthology.aclweb.org/P/P06/P06-1073.pdf
  224. Zouaghi A, Merhbene L, Zrigui M (2011) Word sense disambiguation for Arabic language using the variants of the Lesk algorithm. In: Proceedings of the international conference on artificial intelligence (ICAI’11), Las Vegas, USA, pp 561–567Google Scholar
  225. Zouaghi A, Merhbene L, Zrigui M (2012a) A hybrid approach for Arabic word sense disambiguation. Int J Comput Process Lang 24(2):133–151.  https://doi.org/10.1142/S1793840612400090 CrossRefGoogle Scholar
  226. Zouaghi A, Merhbene L, Zrigui M (2012b) Combination of information retrieval methods with LESK algorithm for Arabic word sense disambiguation. Artif Intell Rev 38(4):257–269.  https://doi.org/10.1007/s10462-011-9249-3 CrossRefGoogle Scholar
  227. Zouaghi A, Zrigui M, Antoniadis G, Merhbene L (2012c) Contribution to semantic analysis of Arabic language. Adv Artif Intell. Article ID 620461.  https://doi.org/10.1155/2012/620461

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Authors and Affiliations

  1. 1.Emirates College of TechnologyAbu DhabiUAE
  2. 2.RIADI Research Laboratory, ENSIManouba UniversityManoubaTunisia

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