Arabic Word-level Readability Visualization for Assisted Text Simplification
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization. The add-on includes a lemmatization component that is connected to a five-level readability lexicon and Arabic WordNet-based substitution suggestions. The add-on can be used for assessing the reading difficulty of a text and identifying difficult words as part of the task of manual text simplification. We make our add-on and its code publicly available.
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Name
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EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session
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Conference
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
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Country/Territory
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United Arab Emirates
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City
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Abu Dhabi
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Period
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12/7/22
→
12/11/22
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Hazim, R., Saddiki, H., Alhafni, B.
, Al Khalil, M.
, & Habash, N.
(2022).
Arabic Word-level Readability Visualization for Assisted Text Simplification
. In W. Che, & E. Shutova (Eds.),
EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session
(pp. 242-249). (EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session). Association for Computational Linguistics (ACL).
Arabic Word-level Readability Visualization for Assisted Text Simplification.
/ Hazim, Reem; Saddiki, Hind; Alhafni, Bashar et al.
EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session. ed. / Wanxiang Che; Ekaterina Shutova. Association for Computational Linguistics (ACL), 2022. p. 242-249 (EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session).
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Hazim, R, Saddiki, H, Alhafni, B
, Al Khalil, M
& Habash, N
2022,
Arabic Word-level Readability Visualization for Assisted Text Simplification
. in W Che & E Shutova (eds),
EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session.
EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session, Association for Computational Linguistics (ACL), pp. 242-249, 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates,
12/7/22
.
Hazim, Reem ; Saddiki, Hind ; Alhafni, Bashar et al. /
Arabic Word-level Readability Visualization for Assisted Text Simplification
. EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session. editor / Wanxiang Che ; Ekaterina Shutova. Association for Computational Linguistics (ACL), 2022. pp. 242-249 (EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session).
TY - GEN
T1 - Arabic Word-level Readability Visualization for Assisted Text Simplification
AU - Hazim, Reem
AU - Saddiki, Hind
AU - Alhafni, Bashar
AU - Al Khalil, Muhamed
AU - Habash, Nizar
N1 - Funding Information:
This project is funded by a New York University Abu Dhabi Research Enhancement Fund grant. We thank Zhengyang Jiang, Go Inoue, and Ossama Obeid for helpful discussions.
© 2022 Association for Computational Linguistics.
PY - 2022
Y1 - 2022
N2 - This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization. The add-on includes a lemmatization component that is connected to a five-level readability lexicon and Arabic WordNet-based substitution suggestions. The add-on can be used for assessing the reading difficulty of a text and identifying difficult words as part of the task of manual text simplification. We make our add-on and its code publicly available.
AB - This demo paper presents a Google Docs add-on for automatic Arabic word-level readability visualization. The add-on includes a lemmatization component that is connected to a five-level readability lexicon and Arabic WordNet-based substitution suggestions. The add-on can be used for assessing the reading difficulty of a text and identifying difficult words as part of the task of manual text simplification. We make our add-on and its code publicly available.
UR - http://www.scopus.com/inward/record.url?scp=85149665638&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149665638&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85149665638
T3 - EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session
SP - 242
EP - 249
BT - EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session
A2 - Che, Wanxiang
A2 - Shutova, Ekaterina
PB - Association for Computational Linguistics (ACL)
T2 - 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
Y2 - 7 December 2022 through 11 December 2022
ER -
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