Analysis of the Arabic using neural networks: an overview

• Autorzy: Soori H. , Platos J. , Snasel V.

Warianty tytułu

PL

Analiza języka arabskiego z wykorzystaniem sieci neuronowych

• Języki publikacji: EN

Abstrakty

EN

This paper is a quick review of some of the scholarly work aiming at solving various problems of the Arabic language using neural networks. It includes some research work concerning online recognition of handwritten Arabic characters, speech recognition, offline character text recognition, text categorization and recognition of printed text. This paper concludes that more research should be conducted in this area considering the importance of the Arabic language, the rapid growth of internet users in the Arab world, and the widespread usage of Arabic characters by many languages other than Arabic.

PL

W artykule przedstawiono metody analizy języka arabskiego z wykorzystaniem sieci neuronowych. Analizowano możliwości rozpoznawania pisma odręcznego, drukowanego jak i mowy.

Słowa kluczowe

EN

neural net; natural language processing; speech recognition; text categorization; handwriting

PL

sieć neuronowa; analiza języka naturalnego; pismo odręczne; pismo drukowane; mowa

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 11
• Strony: 47--50
• Opis fizyczny: Bibliogr. 30 poz., tab.

Twórcy

autor

Soori H.

• VSB-Technical University of Ostrava

autor

Platos J.

• VSB-Technical University of Ostrava

autor

Snasel V.

Bibliografia

• [1] Al-Harbi, S., Almuhareb, A., Al-Thubaity, A., Khorsheed, M. S., Al-Rajeh, A.: Automatic Arabic Text Classification. In: Proceedings of 9es Journées internationales d’Analyse statistique des Données Textuelles, JADT’08, pp. 77–83. France (2008)
• [2] Amin, A., Off-Line Arabic Character Recognition System: State of the Art, Portern Recognition, Vol. 31, No. 5, pp 517-530 (1998)
• [3] Amin, A., Mansoor, W.: Recognition of Printed Arabic Text using Neural Networks. In: Proceedings of the 4th International Conference on Document Analysis and Recognition IEEE Computer Society Washington, DC, USA © (1997)
• [4] Bennasri A., Zahour A., Taconet B.: Arabic script preprocessing and application to postal addresses. ACIDCA'2000, Vision & Pattern Recognition, Monastir, 74-79. Tunisia (2000)
• [5] Bertille J.M., Gilloux M., El Yacoubi A. : Localisation et reconnaissance conjointes de noms de voies dans les lignes distribution des adresses postales. SRTP/RD/Traitement automatique ligne distribution, Transition n°7,16-25. (1994)
• [6] Chinveerphan, S., Zidouri, A. B. C., Sato, M.: Modified MCR Expression of Binary Document Images. IElCE Trans. Inf: & Syst., Vol. E78 -D, No. 4, pp. 503-507, April (1995)
• [7] Chinveerphan, S., Zidouri, A. B. C., Sato, M.: Recognition of Machine Primed Arabic Character and Numerals Based on MCR., IElCE Trim. lnf & Syst., Vol. E78 -D, No. 12, pp. 1649-1655, Dec. (1995)
• [8] Dowton A.C., Leedham C.G.: Preprocessing and presorting of envelope images for automatic sorting using OCR. Pattern Recognition, Vol. 23, n°. 3/4, 347-362. (1990)
• [9] Duwairi, R. M.: A Distance-based Classifier for Arabic Text Categorization. In: Proceedings of the International Conference on Data Mining, Las Vegas USA. (2005)
• [10] El Choubassi, M. M., El Khoury, H.E., Alagha, C. E. J., Skaf, J. A., Al-Alaoui, M. A.: Arabic Speech Recognition Using Recurrent Neural Networks. In: Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, 2003. ISSPIT (2003)
• [11] El-Halees, A., Arabic Text Classification Using Maximum Entropy. The Islamic University Journal (Series of Natural Studies and Engineering),Vol. 15(1), pp. 157-167. (2007)
• [12] El-Kourdi, M., Bensaid, A, Rachidi, T.: Automatic Arabic Document Categorization Based on the Naive Bayes Algorithm. In: Proceedings of the 20th International Conference on Computational Linguistics, Geneva, August (2004)
• [13] Encyclopedia Britannica Online: Alphabet. Online (Feb 2011), http:// www.britannica.com/EBchecked/topic/17212/alphabet
• [14] Fakir, M. and Hassani, M. M.: Automatic Arabic Characters recognition by moment invariants. Colloque international de telecommunications, Fes, Morocco, pp 100-103.(1997)
• [15] Hamza, Ali A.: Back Propagation Neural Network Arabic Characters Classification Module Utilizing Microsoft Word. In: Journal of Computer Science 4 (9): 744-751, 2008 ISSN 15493636 Science Publications (2008)
• [16] Harrag, F., Al-Salman, A. M. S., BenMohammed, M. A.: Comparative Study of Neural Networks Architectures on Arabic Text Categorization Using Feature Extraction. In: Int. Conf. on Machine and Web Intelligence (ICMWI), Algiers (2010)
• [17] Hecht-Nielsen, Robert: Neurocomputing. Addison-Wesley Publishing Company, Inc (1990)
• [18] Hu, M. K.: Visual Pattern Recognition by Moment Invariant. IRE Trans. on Information Theory, Vol. IT-8, 179-187. (1962)
• [19] Mahadevan U., Srihari S.N.: Parsing and recognition of city, state and ZIP codes in handwritten addresses. ICDAR'99, 325-328. (1999)
• [20] Mesleh, A. A.: Chi Square Feature Extraction Based SVMs Arabic Language Text Categorization System. Journal of Computer Science, Vol. 3(6), pp. 430-435. (2007)
• [21] Mezghani, Neila, Mitiche, Amar, Cheriet, Mohamed: On-line recognition of handwritten Arabic characters using A Kohonen neural network. In: Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR’02) 0-7695-16920, IEEE (2002)
• [22] Nawaz, S. N., Sarfraz, M., Zidouri, A., Al-Khatib, W. G.: An Approach to Offline Arabic Character Recognition Using Neural Networks. In: Proceedings of the 2003 10th IEEE Int. Conf. on Electronics, Circuits and Systems, 2003. ICECS (2003)
• [23] Pavlidis T.: Algorithms for Graphic and Image Processing", Rockville, MD: Computer science press (1982)
• [24] Sari T., Souici L., Sellami M.: Off-line Handwritten Arabic Character Segmentation and Recognition System: ACSARECAM. IWFHR’2002, 8th International Workshop on Frontiers in Handwriting Recognition, Niagara-on-the-Lake, Ontario, Canada, August (2002)
• [25] Sawaf, H,. Zaplo, J., Ney, H.: Statistical Classification Methods for Arabic News Articles. Workshop on Arabic Natural Language Processing, ACL'01, Toulouse, France, July (2001)
• [26] Souici L., Aoun A., Sellami M.: Global recognition system for Arabic literal amounts. International Conference on Computer Technologies and Applications, ICCTA’99, Alexandria, Egypt, August (1999)
• [27] Souici, L., Farah, N., Sari, T., Sellami, M.: Rule Based Neural Networks Construction for Handwritten Arabic City-Names Recognition. Artificial Intelligence: Methodology, Systems, and Applications. Lecture Notes in Computer Science, Volume 3192/2004, 331-340, DOI: 10.1007/978-3-540-30106-6_34 (2004)
• [28] Souici-Meslati L., Rahim H., Zemehri M. C Sellami M. Systeme Connexionniste a Représentation Locale pour la Reconnaissance de Montants Littéraux Arabes. CIFED’2002, Conférence Internationale Francophone sur l’Ecrit et le Document, Hammamet, Tunisie, October (2002)
• [29] Srihari S. N.: Recognition of handwritten and machine printed text for postal address interpretation. Pattern Recognition Letters: Special issue on postal processing and character recognition, Vol. 14, N°: 4, 291-302. April (1993)
• [30] Syiam, M. M., Fayed, Z. T., Habib, M. B.: An Intelligent System for Arabic Text Categorization, IJICIS, 6(1), pp. 1-19. (2006)