Multi-Feature Intelligent Oral English Error Correction Based on Few-Shot Learning Technology.

ABSTRACT: The computer-aided language teaching system is maturing thanks to the advancement of few-shot learning technologies. In order to support teachers and increase students' learning efficiency, more computer-aided language teaching systems are being used in teaching and examinations. This study focuses on a multifeature fusion-based evaluation method for oral English learning, completely evaluating specific grammar, and assisting oral learners in improving their oral pronunciation skills. This study proposes an improved method based on HMM a posteriori probability scoring, in which the only standard reference model is no longer used as the basis for scoring and error determination, and instead, the average level of standard pronunciation in the entire corpus is introduced as another judgment b

SUBMITTER: Zhang F 

PROVIDER: S-EPMC9246633 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature