RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language

Giulio Biondi; Valentina Franzoni; Yuanxi Li; Alfredo Milani; Valentino Santucci

doi:10.1109/WI-IAT59888.2023.00070

RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language

Giulio Biondi, Valentina Franzoni^*, Yuanxi Li^*, Alfredo Milani, Valentino Santucci

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

This paper presents RITA (Resource for Italian Tests Assessment), a new dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level. In addition to the tests, RITA provides a variety of speech elements, annotations, and statistics, including phraseological units and their syntactic dependencies. The dataset consists of two corpora: one containing the task assignment and the other containing the texts elaborated by the learners in response to the assignment. This work describes the data collection and annotation process, structure, and statistics computed to facilitate the analysis of the phraseological text. RITA is a valuable resource for researchers and educators interested in Italian phraseology, language assessment, and natural language processing.

Original language	English
Title of host publication	Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023
Publisher	IEEE
Pages	425-430
Number of pages	6
ISBN (Electronic)	9798350309188
ISBN (Print)	9798350309195
DOIs	https://doi.org/10.1109/WI-IAT59888.2023.00070
Publication status	Published - 26 Oct 2023
Event	22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023 - Hybrid, Venice, Italy Duration: 26 Oct 2023 → 29 Oct 2023 https://ieeexplore.ieee.org/xpl/conhome/10350035/proceeding

Publication series

Name	Proceedings - IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT

Conference

Conference	22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023
Country/Territory	Italy
City	Venice
Period	26/10/23 → 29/10/23
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10350035/proceeding

User-Defined Keywords

Italian L2
L2
Natural Language Processing
NLP
text complexity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WI-IAT59888.2023.00070

Cite this

Biondi, G., Franzoni, V., Li, Y., Milani, A., & Santucci, V. (2023). RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language. In Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023 (pp. 425-430). (Proceedings - IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT). IEEE. https://doi.org/10.1109/WI-IAT59888.2023.00070

Biondi, Giulio ; Franzoni, Valentina ; Li, Yuanxi et al. / RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language. Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023. IEEE, 2023. pp. 425-430 (Proceedings - IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT).

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title = "RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language",

abstract = "This paper presents RITA (Resource for Italian Tests Assessment), a new dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level. In addition to the tests, RITA provides a variety of speech elements, annotations, and statistics, including phraseological units and their syntactic dependencies. The dataset consists of two corpora: one containing the task assignment and the other containing the texts elaborated by the learners in response to the assignment. This work describes the data collection and annotation process, structure, and statistics computed to facilitate the analysis of the phraseological text. RITA is a valuable resource for researchers and educators interested in Italian phraseology, language assessment, and natural language processing.",

keywords = "Italian L2, L2, Natural Language Processing, NLP, text complexity",

author = "Giulio Biondi and Valentina Franzoni and Yuanxi Li and Alfredo Milani and Valentino Santucci",

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Biondi, G, Franzoni, V, Li, Y, Milani, A & Santucci, V 2023, RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language. in Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023. Proceedings - IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT, IEEE, pp. 425-430, 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023, Venice, Italy, 26/10/23. https://doi.org/10.1109/WI-IAT59888.2023.00070

RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language. / Biondi, Giulio; Franzoni, Valentina; Li, Yuanxi et al.
Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023. IEEE, 2023. p. 425-430 (Proceedings - IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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T1 - RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language

AU - Biondi, Giulio

AU - Franzoni, Valentina

AU - Li, Yuanxi

AU - Milani, Alfredo

AU - Santucci, Valentino

PY - 2023/10/26

Y1 - 2023/10/26

N2 - This paper presents RITA (Resource for Italian Tests Assessment), a new dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level. In addition to the tests, RITA provides a variety of speech elements, annotations, and statistics, including phraseological units and their syntactic dependencies. The dataset consists of two corpora: one containing the task assignment and the other containing the texts elaborated by the learners in response to the assignment. This work describes the data collection and annotation process, structure, and statistics computed to facilitate the analysis of the phraseological text. RITA is a valuable resource for researchers and educators interested in Italian phraseology, language assessment, and natural language processing.

AB - This paper presents RITA (Resource for Italian Tests Assessment), a new dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level. In addition to the tests, RITA provides a variety of speech elements, annotations, and statistics, including phraseological units and their syntactic dependencies. The dataset consists of two corpora: one containing the task assignment and the other containing the texts elaborated by the learners in response to the assignment. This work describes the data collection and annotation process, structure, and statistics computed to facilitate the analysis of the phraseological text. RITA is a valuable resource for researchers and educators interested in Italian phraseology, language assessment, and natural language processing.

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KW - text complexity

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Biondi G, Franzoni V, Li Y, Milani A, Santucci V. RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language. In Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023. IEEE. 2023. p. 425-430. (Proceedings - IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT). doi: 10.1109/WI-IAT59888.2023.00070

RITA: A Phraseological Dataset of CEFR Assignments and Exams for Italian as a Second Language

Abstract

Publication series

Conference

User-Defined Keywords

UN SDGs

Access to Document

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