Abstract
This paper is concerned with a tool that supports human experts in their task of classifying text excerpts suitable to be used in quizzes for learning materials and as items of exams that are aimed at assessing and certifying the language level of students taking courses of Portuguese as a second language.
We assess the performance of this tool, which is currently available as an online service and is being used by the experts of the team of Camões IP that is responsible for the elaboration of the quizzes and of exam items to be used in language certification exams.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
References
Branco, A., Rodrigues, J., Costa, F., Silva, J., Vaz, R.: Text Classification for Interactive Language Learning (forth)
Council of Europe (2011), consulted on http://www.coe.int/t/dg4/linguistic/Cadre1_en.asp (March 31, 2014)
DuBay, W.: The Principles of Readability. Impact Information, Costa Mesa (2004)
Flesch, R.: How to write in plain English: A book for lawyers and consumers. Harper, New York (1979)
Branco, A., Silva, J.: Evaluating Solutions for the Rapid Development of State-of-the-Art POS Taggers for Portuguese. In: Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), pp. 507–510. ELRA, Paris (2004)
Branco, A., Silva, J.: LX-Suite: Shallow Processing Tools for Portuguese. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, Italy, pp. 179–182 (2006)
Silva, J., Branco, A., Castro, S., Reis, R.: Out-of-the-Box Robust Parsing of Portuguese. In: Pardo, T.A.S., Branco, A., Klautau, A., Vieira, R., de Lima, V.L.S. (eds.) PROPOR 2010. LNCS (LNAI), vol. 6001, pp. 75–85. Springer, Heidelberg (2010)
Fleiss, J.L.: Statistical methods for rates and proportions, 2nd edn., pp. 38–46. John Wiley, New York (1981)
Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Branco, A., Rodrigues, J., Costa, F., Silva, J., Vaz, R. (2014). Rolling out Text Categorization for Language Learning Assessment Supported by Language Technology. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds) Computational Processing of the Portuguese Language. PROPOR 2014. Lecture Notes in Computer Science(), vol 8775. Springer, Cham. https://doi.org/10.1007/978-3-319-09761-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-09761-9_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09760-2
Online ISBN: 978-3-319-09761-9
eBook Packages: Computer ScienceComputer Science (R0)