Hybrid Technique for Arabic Text Compression

Arafat Awajan; Enas Abu Jrai

Hybrid Technique for Arabic Text Compression

Arafat Awajan * §

Contact

Enas Abu Jrai §

Contact

§ Princess Sumaya Unversity for Technology

Hybrid Technique for Arabic Text Compression

Article Fingerprint

ReserarchID

CSTSDE2XAL2

Hybrid Technique for Arabic Text Compression Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Arabic content on the Internet and other digital media is increasing exponentially, and the number of Arab users of these media has multiplied by more than 20 over the past five years. There is a real need to save allocated space for this content as well as allowing more efficient usage, searching, and retrieving information operations on this content. Using techniques borrowed from other languages or general data compression techniques, ignoring the proper features of Arabic has limited success in terms of compression ratio. In this paper, we present a hybrid technique that uses the linguistic features of Arabic language to improve the compression ratio of Arabic texts. This technique works in phases. In the first phase, the text file is split into four different files using a multilayer model-based approach. In the second phase, each one of these four files is compressed using the Burrows-Wheeler compression algorithm.

References

25 Cites in Article

Reference Format

1. G Blelloch (2010). Introduction to Data Compression. Introduction to Data Compression
2. R Lourdusamy,S Shanmugasundaram (2011). A Comparative Study Of Text Compression Algorithms. International Journal of Wisdom Based Computing, 1(3), 68-76.
3. D Moronfolu,Oluwade (2009). An enhanced LZW text compression algorithm. Afr. J. Comp. & ICT, 2(2), 13-20.
4. Haroon Altarawneh,Mohammad Altarawneh (2011). Data Compression Techniques on Text Files: A Comparison Study. International Journal of Computer Applications, 26(5), 42-54.
5. R Hasan (2011). Data Compression using Huffman based LZW Encoding Technique. International Journal of Scientific & Engineering Research, 2(1), 1-7.
6. J Teahan,R Mcnab,H Witten (2000). A Compressionbased Algorithm for Chinese Word Segmentation. Computer Journal of Computational Linguistics, 26(3), 375-392.
7. (2007). Arabic Computational Morphology. Arabic Computational Morphology
8. Julius Golej,Andrej Adamuscin,Miroslav Panik (2008). A DATA-DRIVEN APPROACH TO REAL ESTATE PRICE ESTIMATION: THE CASE STUDY SLOVAKIA. Conference Proceedings of Third International Conference ETIMA 2025, 149-260.
9. Majdi Sawalha,Eric Atwell (2011). A standard tag set expounding traditional morphological features for Arabic language part-of-speech tagging. Word Structure, 6(1), 43-99.
10. A Al-Sughaiyer,I Al-Kharashi (2004). Arabic Morphological Analysis Techniques: A Comprehensive Survey. Journal of the American Society for Information Science and Technology, 55(3), 189-213.
11. D Jurafsky,J Martin (2008). Speech and Language Processing. Speech and Language Processing
12. G Pauw,G.-M Schryver (2008). Improving the Computational Morphological Analysis of a Swahili Corpus for Lexicographic Purposes. The 13th International Conference of the African Association for Lexicography, 1-3.
13. Sameh Ghwanmeh,Riyad Al-Shalabi,Ghassan Kanaan (2006). Efficient Data Compression Scheme using Dynamic Huffman Code Applied on Arabic Language. Journal of Computer Science, 2(12), 885-888.
14. Ziad Alasmer,Bilal Zahran,Belal Ayyoub,Monther Kanan,Abdelaziz Hammouri,Jafar Ababneh (2013). A comparison between English and Arabic text compression. Contemporary Engineering Sciences, 6(3), 111-119.
15. M Khafagy (2005). Arabic Text Data Compression. Arabic Text Data Compression
16. E Omer,K Khatatneh (2010). Arabic Short Text Compression. Journal of Computer Science, 6(1), 24-28.
17. H Akman,S Bayindir,Z Ozleme,Akin,Sanjay Misra (2011). Lossless Text Compression Technique Using Syllable Based Morphology. The International Arab Journal of Information Technology, 8(1), 66-74.
18. M Daoud (2011). Morphological Analysis and Diacritical Arabic Text Compression. The International Journal of ACM Jordan, 1(1), 41-49.
19. Awajan (2011). Multilayer Model for Arabic Text Compression. The International Arab Journal of Information Technology, 8(2), 188-196.
20. R Radescu (2009). Transform methods used in lossless compression of text files. Romanian Journal of Information Science and Technology, 12(1), 101-115.
21. Abel (2003). Improvements to the Burrows-Wheeler Compression Algorithm: After BWT Stages. Improvements to the Burrows-Wheeler Compression Algorithm: After BWT Stages
22. Yair Wiseman,Irit Gefner (2007). Conjugation-based compression for Hebrew texts. ACM Transactions on Asian Language Information Processing, 6(1), 4.
23. Awajan (2007). Arabic Text Preprocessing for the Natural Language Processing Applications. Arab Gulf Journal of Scientific Research, 25(4), 179-189.
24. M Saad (2011). Table 1: Comparison between different Arabic corpora. Table 1: Comparison between different Arabic corpora.
25. Alesco Arabic Language Derivation and Morphological System.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Arafat Awajan, Enas Abu Jrai. 2015. "Hybrid Technique for Arabic Text Compression". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C1).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 15 Issue C1

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

C.1.3

Submission ReceivedDecember 9, 2014
Peer Review Double Blind
Handling Editor
Accepted January 3, 2015
Published February 21, 2015

Version of record

v1.2

Issue date

February 21, 2015

Language

English

Order Article Reprint

Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 102

Country: Jordan

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Arafat Awajan, Enas Abu Jrai (PhD/Dr. count: 0)

View Count (all-time): 500

Total Views (Real + Logic): 3136

Total Downloads (simulated): 254

Publish Date: 2015 01, Thu

Monthly Totals (Real + Logic):

Month 1: 44 views
Month 2: 53 views
Month 3: 40 views
Month 4: 64 views
Month 5: 41 views
Month 6: 57 views
Month 7: 48 views
Month 8: 38 views
Month 9: 41 views
Month 10: 40 views
Month 11: 26 views
Month 12: 20 views
Month 13: 28 views
Month 14: 32 views
Month 15: 22 views
Month 16: 37 views
Month 17: 44 views
Month 18: 29 views
Month 19: 33 views
Month 20: 45 views
Month 21: 43 views
Month 22: 34 views
Month 23: 33 views
Month 24: 35 views
Month 25: 22 views
Month 26: 21 views
Month 27: 31 views
Month 28: 26 views
Month 29: 26 views
Month 30: 25 views
Month 31: 33 views
Month 32: 26 views
Month 33: 38 views
Month 34: 15 views
Month 35: 33 views
Month 36: 33 views
Month 37: 31 views
Month 38: 27 views
Month 39: 35 views
Month 40: 31 views
Month 41: 33 views
Month 42: 44 views
Month 43: 19 views
Month 44: 26 views
Month 45: 35 views
Month 46: 34 views
Month 47: 37 views
Month 48: 37 views
Month 49: 19 views
Month 50: 32 views
Month 51: 24 views
Month 52: 12 views
Month 53: 46 views
Month 54: 36 views
Month 55: 27 views
Month 56: 35 views
Month 57: 24 views
Month 58: 23 views
Month 59: 32 views
Month 60: 25 views
Month 61: 34 views
Month 62: 29 views
Month 63: 39 views
Month 64: 26 views
Month 65: 31 views
Month 66: 20 views
Month 67: 46 views
Month 68: 40 views
Month 69: 36 views
Month 70: 15 views
Month 71: 46 views
Month 72: 41 views
Month 73: 20 views
Month 74: 18 views
Month 75: 49 views
Month 76: 26 views
Month 77: 41 views
Month 78: 39 views
Month 79: 31 views
Month 80: 30 views
Month 81: 34 views
Month 82: 11 views
Month 83: 42 views
Month 84: 13 views
Month 85: 16 views
Month 86: 34 views
Month 87: 24 views
Month 88: 35 views
Month 89: 37 views
Month 90: 18 views
Month 91: 33 views
Month 92: 33 views
Month 93: 24 views
Month 94: 31 views
Month 95: 37 views
Month 96: 29 views
Month 97: 16 views
Month 98: 19 views
Month 99: 27 views
Month 100: 37 views
Month 101: 30 views
Month 102: 40 views
Month 103: 20 views
Month 104: 17 views
Month 105: 30 views
Month 106: 29 views
Month 107: 23 views
Month 108: 27 views
Month 109: 37 views
Month 110: 32 views
Month 111: 36 views
Month 112: 40 views
Month 113: 25 views
Month 114: 17 views
Month 115: 34 views
Month 116: 36 views
Month 117: 41 views
Month 118: 35 views
Month 119: 36 views
Month 120: 13 views
Month 121: 26 views
Month 122: 49 views
Month 123: 16 views
Month 124: 24 views
Month 125: 23 views
Month 126: 31 views
Month 127: 49 views
Month 128: 28 views
Month 129: 25 views
Month 130: 27 views
Month 131: 21 views
Month 132: 31 views
Month 133: 31 views
Month 134: 44 views
Month 135: 42 views
Month 136: 26 views
Month 137: 18 views
Month 138: 38 views
Month 139: 49 views
Month 140: 33 views
Month 141: 55 views
Month 142: 58 views

Total Views: 3.1K

Total Downloads: 254

All Trends