@inproceedings{mallart-etal-2023-exploring,
title = "Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System",
author = "Mallart, Cyriel and
Simpkin, Andrew and
Venant, Rmi and
Ballier, Nicolas and
Stearns, Bernardo and
Yu Li, Jen and
Gaillat, Thomas",
editor = {Kochmar, Ekaterina and
Burstein, Jill and
Horbach, Andrea and
Laarmann-Quante, Ronja and
Madnani, Nitin and
Tack, Ana{\"\i}s and
Yaneva, Victoria and
Yuan, Zheng and
Zesch, Torsten},
booktitle = "Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.bea-1.39",
doi = "10.18653/v1/2023.bea-1.39",
pages = "466--476",
abstract = "This paper explores the use of L2-specific grammatical microsystems as elements of the domain knowledge of an Intelligent Computer-assisted Language Learning (ICALL) system. We report on the design of new grammatico-functional measures and their association with proficiency. We illustrate the approach with the design of the IT, THIS, THAT proform microsystem. The measures rely on the paradigmatic relations between words of the same linguistic functions. They are operationalised with one frequency-based and two probabilistic methods, i.e., the relative proportions of the forms and their likelihood of occurrence. Ordinal regression models show that the measures are significant in terms of association with CEFR levels, paving the way for their introduction in a specific proform microsystem expert model.",
}
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%0 Conference Proceedings
%T Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System
%A Mallart, Cyriel
%A Simpkin, Andrew
%A Venant, Rmi
%A Ballier, Nicolas
%A Stearns, Bernardo
%A Yu Li, Jen
%A Gaillat, Thomas
%Y Kochmar, Ekaterina
%Y Burstein, Jill
%Y Horbach, Andrea
%Y Laarmann-Quante, Ronja
%Y Madnani, Nitin
%Y Tack, Anaïs
%Y Yaneva, Victoria
%Y Yuan, Zheng
%Y Zesch, Torsten
%S Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F mallart-etal-2023-exploring
%X This paper explores the use of L2-specific grammatical microsystems as elements of the domain knowledge of an Intelligent Computer-assisted Language Learning (ICALL) system. We report on the design of new grammatico-functional measures and their association with proficiency. We illustrate the approach with the design of the IT, THIS, THAT proform microsystem. The measures rely on the paradigmatic relations between words of the same linguistic functions. They are operationalised with one frequency-based and two probabilistic methods, i.e., the relative proportions of the forms and their likelihood of occurrence. Ordinal regression models show that the measures are significant in terms of association with CEFR levels, paving the way for their introduction in a specific proform microsystem expert model.
%R 10.18653/v1/2023.bea-1.39
%U https://aclanthology.org/2023.bea-1.39
%U https://doi.org/10.18653/v1/2023.bea-1.39
%P 466-476
Markdown (Informal)
[Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System](https://aclanthology.org/2023.bea-1.39) (Mallart et al., BEA 2023)
ACL