Grammatical error detection using HPSG grammars: Diagnosing common Mandarin Chinese grammatical errors

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DOI:

https://doi.org/10.21248/hpsg.2022.9

Abstract

Computational Grammars can be adapted to detect ungrammatical sentences, effectively transforming them into error detection (or correction) systems. In this paper we provide a theoretical account of how to adapt implemented HPSG grammars for grammatical error detection. We discuss how a single ungrammatical input can be reconstructed in multiple ways and, in turn, be used to provide specific, high-quality feedback to language learners. We then move on to exemplify this with a few of the most common error classes made by learners of Mandarin Chinese. We conclude with some notes concerning the adaptation and implementation of the methods described here in ZHONG, an open-source HPSG grammar for Mandarin Chinese.

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Published

2022-10-31

How to Cite

Morgado da Costa, Luis & Bond, Francis. 2022. Grammatical error detection using HPSG grammars: Diagnosing common Mandarin Chinese grammatical errors. Proceedings of the 29th International Conference on Head-Driven Phrase Structure Grammar 157–176. (doi:10.21248/hpsg.2022.9) (https://proceedings.hpsg.xyz/article/view/906) (Accessed March 28, 2023.)