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        <title>Automatic Extraction of English Grammar Pattern Correction Rules</title>
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    <abstract>We introduce a method for generating error-correction rules for grammar pattern errors in a given annotated learner corpus. In our approach, annotated edits in the learner corpus are converted into edit rules for correcting common writing errors. The method involves automatic extraction of grammar patterns, and automatic alignment of the erroneous patterns and correct patterns. At run-time, grammar patterns are extracted from the grammatically correct sentences, and correction rules are retrieved by aligning the extracted grammar patterns with the erroneous patterns. Using the proposed method, we generate 1,499 high-quality correction rules related to 232 headwords. The method can be used to assist ESL students in avoiding grammatical errors, and aid teachers in correcting students’ essays. Additionally, the method can be used in the compilation of collocation error dictionaries and the construction of grammar error correction systems.</abstract>
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%0 Conference Proceedings
%T Automatic Extraction of English Grammar Pattern Correction Rules
%A Shen, Kuan-Yu
%A Lin, Yi-Chien
%A Chang, Jason S.
%Y Lee, Lung-Hao
%Y Chang, Chia-Hui
%Y Chen, Kuan-Yu
%S Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
%D 2021
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taoyuan, Taiwan
%F shen-etal-2021-automatic
%X We introduce a method for generating error-correction rules for grammar pattern errors in a given annotated learner corpus. In our approach, annotated edits in the learner corpus are converted into edit rules for correcting common writing errors. The method involves automatic extraction of grammar patterns, and automatic alignment of the erroneous patterns and correct patterns. At run-time, grammar patterns are extracted from the grammatically correct sentences, and correction rules are retrieved by aligning the extracted grammar patterns with the erroneous patterns. Using the proposed method, we generate 1,499 high-quality correction rules related to 232 headwords. The method can be used to assist ESL students in avoiding grammatical errors, and aid teachers in correcting students’ essays. Additionally, the method can be used in the compilation of collocation error dictionaries and the construction of grammar error correction systems.
%U https://aclanthology.org/2021.rocling-1.32
%P 252-256

Markdown (Informal)

[Automatic Extraction of English Grammar Pattern Correction Rules](https://aclanthology.org/2021.rocling-1.32) (Shen et al., ROCLING 2021)

• Automatic Extraction of English Grammar Pattern Correction Rules (Shen et al., ROCLING 2021)

ACL

• Kuan-Yu Shen, Yi-Chien Lin, and Jason S. Chang. 2021. Automatic Extraction of English Grammar Pattern Correction Rules. In Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), pages 252–256, Taoyuan, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).