Standard
OSMAN: a novel Arabic readability metric. /
El-Haj, Mahmoud; Rayson, Paul Edward.
Proceedings of the Language Resources and Evaluation Conference 2016. ed. / Nicoletta Calzolari; Khalid Choukri; Thierry Declerck; Marko Grobelnik; Bente Maegaard; Joseph Mariani; Asuncion Moreno; Jan Odijk; Stelios Piperidis. 10. ed. Slovenia: European Language Resources Association (ELRA), 2016. p. 250-255 77.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
El-Haj, M & Rayson, PE 2016,
OSMAN: a novel Arabic readability metric. in N Calzolari, K Choukri, T Declerck, M Grobelnik, B Maegaard, J Mariani, A Moreno, J Odijk & S Piperidis (eds),
Proceedings of the Language Resources and Evaluation Conference 2016. 10 edn, 77, European Language Resources Association (ELRA), Slovenia, pp. 250-255. <
http://www.lrec-conf.org/proceedings/lrec2016/pdf/77_Paper.pdf>
APA
El-Haj, M., & Rayson, P. E. (2016).
OSMAN: a novel Arabic readability metric. In N. Calzolari, K. Choukri, T. Declerck, M. Grobelnik, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.),
Proceedings of the Language Resources and Evaluation Conference 2016 (10 ed., pp. 250-255). Article 77 European Language Resources Association (ELRA).
http://www.lrec-conf.org/proceedings/lrec2016/pdf/77_Paper.pdf
Vancouver
El-Haj M, Rayson PE.
OSMAN: a novel Arabic readability metric. In Calzolari N, Choukri K, Declerck T, Grobelnik M, Maegaard B, Mariani J, Moreno A, Odijk J, Piperidis S, editors, Proceedings of the Language Resources and Evaluation Conference 2016. 10 ed. Slovenia: European Language Resources Association (ELRA). 2016. p. 250-255. 77
Author
El-Haj, Mahmoud ; Rayson, Paul Edward. /
OSMAN : a novel Arabic readability metric. Proceedings of the Language Resources and Evaluation Conference 2016. editor / Nicoletta Calzolari ; Khalid Choukri ; Thierry Declerck ; Marko Grobelnik ; Bente Maegaard ; Joseph Mariani ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. 10. ed. Slovenia : European Language Resources Association (ELRA), 2016. pp. 250-255
Bibtex
@inproceedings{cc1d00ff0d904f9f8be3d41e57788227,
title = "OSMAN: a novel Arabic readability metric",
abstract = "We present OSMAN (Open Source Metric for Measuring Arabic Narratives) - a novel open source Arabic readability metric and tool. It allows researchers to calculate readability for Arabic text with and without diacritics. OSMAN is a modified version of the conventional readability formulas such as Flesch and Fog. In our work we introduce a novel approach towards counting short, long and stress syllables in Arabic which is essential for judging readability of Arabic narratives. We also introduce an additional factor called “Faseeh” which considers aspects of script usually dropped in informal Arabic writing. To evaluate our methods we used Spearman{\textquoteright}s correlation metric to compare text readability for 73,000 parallel sentences from English and Arabic UN documents. The Arabic sentences were written with the absence of diacritics and in order to count the number of syllables we added the diacritics in using an open source tool called Mishkal. The results show that OSMAN readability formula correlates well with the English ones making it a useful tool for researchers and educators working with Arabic text.",
keywords = "Arabic, readability, NLP, diacritics, OSMAN, flesch, fog, parallel, corpus, corpus linguistics",
author = "Mahmoud El-Haj and Rayson, {Paul Edward}",
year = "2016",
month = may,
day = "23",
language = "English",
isbn = "9782951740891",
pages = "250--255",
editor = "Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Marko Grobelnik and Bente Maegaard and Mariani, {Joseph } and Asuncion Moreno and Jan Odijk and Stelios Piperidis",
booktitle = "Proceedings of the Language Resources and Evaluation Conference 2016",
publisher = "European Language Resources Association (ELRA)",
edition = "10",
}
RIS
TY - GEN
T1 - OSMAN
T2 - a novel Arabic readability metric
AU - El-Haj, Mahmoud
AU - Rayson, Paul Edward
PY - 2016/5/23
Y1 - 2016/5/23
N2 - We present OSMAN (Open Source Metric for Measuring Arabic Narratives) - a novel open source Arabic readability metric and tool. It allows researchers to calculate readability for Arabic text with and without diacritics. OSMAN is a modified version of the conventional readability formulas such as Flesch and Fog. In our work we introduce a novel approach towards counting short, long and stress syllables in Arabic which is essential for judging readability of Arabic narratives. We also introduce an additional factor called “Faseeh” which considers aspects of script usually dropped in informal Arabic writing. To evaluate our methods we used Spearman’s correlation metric to compare text readability for 73,000 parallel sentences from English and Arabic UN documents. The Arabic sentences were written with the absence of diacritics and in order to count the number of syllables we added the diacritics in using an open source tool called Mishkal. The results show that OSMAN readability formula correlates well with the English ones making it a useful tool for researchers and educators working with Arabic text.
AB - We present OSMAN (Open Source Metric for Measuring Arabic Narratives) - a novel open source Arabic readability metric and tool. It allows researchers to calculate readability for Arabic text with and without diacritics. OSMAN is a modified version of the conventional readability formulas such as Flesch and Fog. In our work we introduce a novel approach towards counting short, long and stress syllables in Arabic which is essential for judging readability of Arabic narratives. We also introduce an additional factor called “Faseeh” which considers aspects of script usually dropped in informal Arabic writing. To evaluate our methods we used Spearman’s correlation metric to compare text readability for 73,000 parallel sentences from English and Arabic UN documents. The Arabic sentences were written with the absence of diacritics and in order to count the number of syllables we added the diacritics in using an open source tool called Mishkal. The results show that OSMAN readability formula correlates well with the English ones making it a useful tool for researchers and educators working with Arabic text.
KW - Arabic
KW - readability
KW - NLP
KW - diacritics
KW - OSMAN
KW - flesch
KW - fog
KW - parallel
KW - corpus
KW - corpus linguistics
M3 - Conference contribution/Paper
SN - 9782951740891
SP - 250
EP - 255
BT - Proceedings of the Language Resources and Evaluation Conference 2016
A2 - Calzolari, Nicoletta
A2 - Choukri, Khalid
A2 - Declerck, Thierry
A2 - Grobelnik, Marko
A2 - Maegaard, Bente
A2 - Mariani, Joseph
A2 - Moreno, Asuncion
A2 - Odijk, Jan
A2 - Piperidis, Stelios
PB - European Language Resources Association (ELRA)
CY - Slovenia
ER -
