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Linguistic Profile of a Text and Human Ratings of Writing Quality: a Case Study on Italian L1 Learner Essays

Articolo
Data di Pubblicazione:
2023
Abstract:
This paper presents a study based on the linguistic profiling methodology to explore the relationship between the linguistic structure of a text and how it is perceived in terms of writing quality by humans. The approach is tested on a selection of Italian L1 learners essays, which were taken from a larger longitudinal corpus of essays written by Italian L1 students enrolled in the first and second year of lower secondary school. Human ratings of writing quality by Italian native speakers were collected through a crowdsourcing task, in which annotators were asked to read pairs of essays and rated which one they believed to be better written. By analyzing these ratings, the study identifies a variety of linguistic phenomena spanning across distinct levels of linguistic description that distinguish the essays considered as 'winners' and evaluates the impact of students' errors on the human perception of writing quality.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
human ratings; text quality; Natural Language Processing; learner corpus
Elenco autori:
Dell'Orletta, Felice; Brunato, DOMINIQUE PIERINA
Autori di Ateneo:
BRUNATO DOMINIQUE PIERINA
DELL'ORLETTA FELICE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/455146
Pubblicato in:
IJCOL
Journal
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URL

https://www.ai-lc.it/wp-content/uploads/2023/09/IJCOL_9_1_1_cerulli_et_al.pdf
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