言語間での転移学習のための事前学習モデルと多言語の学習者データを用いた文法誤り訂正

This study constructed an error-tagged evaluation corpus for Japanese grammatical error correction (GEC). Evaluation corpora are essential for assessing the performance of models. The availability of various evaluation corpora for English GEC has facilitated a comprehensive comparison between models and the development of the English GEC community. However, the development of the Japanese GEC community has been hindered due to the lack of available evaluation corpora in the Japanese GEC. As a result, we constructed a new evaluation corpus for the Japanese GEC and made it available to the public. We used texts written by the Japanese language learners in the Lang-8 corpus, a representative learner corpus in GEC, to create the

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Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction

Koyama

Kiyuna

Kono

et al. 2023

Journal of Natural Language Processing

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言語間での転移学習のための事前学習モデルと多言語の学習者データを用いた文法誤り訂正

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Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction

Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction

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