Evaluation of AI-based Grammar Correction for Portuguese

Correction of grammatical errors is today integrated into the most widely used text processing tools and is accessible online. However, these tools are primarily half-automatic, merely suggesting possible corrections and variations, and require interaction with a user, which can be a tedious task when used on lengthy texts. Recent advancements in the field of artificial intelligence and natural language processing offer a more efficient strategy. This paper analyzes a possibility of using ChatGPT for correcting grammar in Portuguese texts written by native speakers of Croatian. The texts were corrected by a native speaker of European Portuguese and by ChatGPT. The authors analyzed error detection and correction at various linguistic levels and accompanied it with examples. Due to class imbalance, the system’s performance was evaluated using the F-measure. The calculation of false positives and true negatives was adjusted because of special cases of improper correction. Taking that into consideration, the F0.5 score was 0.805. Nevertheless, it should be noted that the results would likely vary if the input corpus had different structure and proficiency level.

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Publication Details

Journal
Jezikoslovlje
Published
2024-12-23
DOI
https://doi.org/10.29162/jez.2024.6
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Evaluation of AI-based Grammar Correction for Portuguese

Vedran Juričić, Daliborka Sarić
1 citations
Jezikoslovlje
Natural Language Processing Techniques
0.35
article

Evaluation of AI-based Grammar Correction for Portuguese

Vedran Juričić, Daliborka Sarić
article en
1 citations

Abstract

Correction of grammatical errors is today integrated into the most widely used text processing tools and is accessible online. However, these tools are primarily half-automatic, merely suggesting possible corrections and variations, and require interaction with a user, which can be a tedious task when used on lengthy texts. Recent advancements in the field of artificial intelligence and natural language processing offer a more efficient strategy. This paper analyzes a possibility of using ChatGPT for correcting grammar in Portuguese texts written by native speakers of Croatian. The texts were corrected by a native speaker of European Portuguese and by ChatGPT. The authors analyzed error detection and correction at various linguistic levels and accompanied it with examples. Due to class imbalance, the system’s performance was evaluated using the F-measure. The calculation of false positives and true negatives was adjusted because of special cases of improper correction. Taking that into consideration, the F0.5 score was 0.805. Nevertheless, it should be noted that the results would likely vary if the input corpus had different structure and proficiency level.

JezikoslovljeVol. 25(2)
Institut za filozofiju (HR)
Quality Education
Openalex Percentile: Top 30%
Natural Language Processing Techniques
0.35
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