Grammar Assistance Using Syntactic Structures (GAUSS)
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Grammar Assistance Using Syntactic Structures (GAUSS)Autor(es)
Data
2024Cita bibliográfica
Zamaraeva, O., Allegue, L. S., Gómez-Rodríguez, C., Alonso-Ramos, M., & Ogneva, A. (2024). Grammar Assistance Using Syntactic Structures (GAUSS). CEUR Workshop Proceedings. Vol. 3729, Pages 65 – 70. Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations, SEPLN-CEDI-PD 2024, A Coruna, June 2024
Resumo
[Abstract]: Automatic grammar coaching serves an important purpose of advising on standard grammar varieties while not imposing social pressures or reinforcing established social roles. Such systems already exist but most of them are for English and few of them offer meaningful feedback. Furthermore, they typically rely completely on neural methods and require huge computational resources which most of the world cannot afford. We propose a grammar coaching system for Spanish that relies on (i) a rich linguistic formalism capable of giving informative feedback; and (ii) a faster parsing algorithm which makes using this formalism practical in a real-world application. The approach is feasible for any language for which there is a computerized grammar and is less reliant on expensive and environmentally costly neural methods. We seek to contribute to Greener AI and to address global education challenges by raising the standards of inclusivity and engagement in grammar coaching.
Palabras chave
Grammar coaching
Grammar engineering
HPSG
Parsing
Second language acquisition
Syntactic theory
Syntax
Grammar engineering
HPSG
Parsing
Second language acquisition
Syntactic theory
Syntax
Descrición
Included in Proceedings of the Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations (SEPLN-CEDI-PD 2024)
co-located with the 7th Spanish Conference on Informatics (CEDI 2024)
A Coruña, Spain, June 19-20, 2024.
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Atribución 4.0 Internacional © 2024 Copyright for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0).
ISSN
1613-0073