A Baseline Readability Model for Cebuano

Lloyd Lois Antonie Reyes; Michael Antonio Ibañez; Ranz Sapinit; Mohammed Hussien; Joseph Marvin Imperial

doi:10.18653/v1/2022.bea-1.5

A Baseline Readability Model for Cebuano

Lloyd Lois Antonie Reyes, Michael Antonio Ibañez, Ranz Sapinit, Mohammed Hussien, Joseph Marvin Imperial

National University, Philippines

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

8 Citations (SciVal)

Abstract

In this study, we developed the first baseline readability model for the Cebuano language. Cebuano is the second most-used native language in the Philippines with about 27.5 million speakers. As the baseline, we extracted traditional or surface-based features, syllable patterns based from Cebuano’s documented orthography, and neural embeddings from the multilingual BERT model. Results show that the use of the first two handcrafted linguistic features obtained the best performance trained on an optimized Random Forest model with approximately 87% across all metrics. The feature sets and algorithm used also is similar to previous results in readability assessment for the Filipino language—showing potential of crosslingual application.

Original language	English
Title of host publication	BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings
Editors	Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anais Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch
Publisher	Association for Computational Linguistics (ACL)
Pages	27-32
Number of pages	6
ISBN (Electronic)	9781955917834
DOIs	https://doi.org/10.18653/v1/2022.bea-1.5
Publication status	Published - 31 Jul 2022
Event	17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022 - Seattle, USA United States Duration: 15 Jul 2022 → …

Publication series

Name	BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings

Conference

Conference	17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022
Country/Territory	USA United States
City	Seattle
Period	15/07/22 → …

Bibliographical note

Funding Information:
The authors would like to thank the anonymous reviewers for their valuable feedback. This project is supported by the Google AI Tensorflow Faculty Grant awarded to Joseph Marvin Imperial.

Publisher Copyright:
© 2022 Association for Computational Linguistics.

Funding

The authors would like to thank the anonymous reviewers for their valuable feedback. This project is supported by the Google AI Tensorflow Faculty Grant awarded to Joseph Marvin Imperial.

ASJC Scopus subject areas

Language and Linguistics
Software
Linguistics and Language

Access to Document

10.18653/v1/2022.bea-1.5Licence: CC BY

Cite this

Antonie Reyes, L. L., Ibañez, M. A., Sapinit, R., Hussien, M., & Imperial, J. M. (2022). A Baseline Readability Model for Cebuano. In E. Kochmar, J. Burstein, A. Horbach, R. Laarmann-Quante, N. Madnani, A. Tack, V. Yaneva, Z. Yuan, & T. Zesch (Eds.), BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings (pp. 27-32). (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.bea-1.5

A Baseline Readability Model for Cebuano. / Antonie Reyes, Lloyd Lois; Ibañez, Michael Antonio; Sapinit, Ranz et al.
BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. ed. / Ekaterina Kochmar; Jill Burstein; Andrea Horbach; Ronja Laarmann-Quante; Nitin Madnani; Anais Tack; Victoria Yaneva; Zheng Yuan; Torsten Zesch. Association for Computational Linguistics (ACL), 2022. p. 27-32 (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Antonie Reyes, LL, Ibañez, MA, Sapinit, R, Hussien, M & Imperial, JM 2022, A Baseline Readability Model for Cebuano. in E Kochmar, J Burstein, A Horbach, R Laarmann-Quante, N Madnani, A Tack, V Yaneva, Z Yuan & T Zesch (eds), BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings, Association for Computational Linguistics (ACL), pp. 27-32, 17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022, Seattle, USA United States, 15/07/22. https://doi.org/10.18653/v1/2022.bea-1.5

Antonie Reyes LL, Ibañez MA, Sapinit R, Hussien M, Imperial JM. A Baseline Readability Model for Cebuano. In Kochmar E, Burstein J, Horbach A, Laarmann-Quante R, Madnani N, Tack A, Yaneva V, Yuan Z, Zesch T, editors, BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. Association for Computational Linguistics (ACL). 2022. p. 27-32. (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings). doi: 10.18653/v1/2022.bea-1.5

Antonie Reyes, Lloyd Lois ; Ibañez, Michael Antonio ; Sapinit, Ranz et al. / A Baseline Readability Model for Cebuano. BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. editor / Ekaterina Kochmar ; Jill Burstein ; Andrea Horbach ; Ronja Laarmann-Quante ; Nitin Madnani ; Anais Tack ; Victoria Yaneva ; Zheng Yuan ; Torsten Zesch. Association for Computational Linguistics (ACL), 2022. pp. 27-32 (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings).

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A Baseline Readability Model for Cebuano

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