Automatical sampling with heterogeneous corpora for grammatical error correction

Abstract Thanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance. However, traditional model training depends significantly on the large scale of similar distributed samples. The model performance d...

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Bibliographic Details
Main Authors: Shichang Zhu, Jianjian Liu, Ying Li, Zhengtao Yu
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s40747-024-01653-3
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