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

2023 IEEE INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT(2023)

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摘要
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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关键词
Natural Language Processing,NLP,Italian L2,L2,text complexity
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