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- Title
Error Classification of Modal Verbs in English Writing Based on Meta Cognitive Strategies.
- Authors
Shutao ZHOU; Hui YU
- Abstract
In order to improve the performance of model of error classification of modal verbs in writing, a type of meta-cognitive logical strategy is proposed via feature extraction based on convolutional neural network (CNN). Firstly, feature extraction of modal verb sequence based on convolutional neural network is performed against the feature expression problem of modal verbs and text feature matrix is converted into feature vector V in utilization of the trained convolutional neural network model. Then, knowledge acquisition, inference and knowledge base of modal verb error in writing are constructed in utilization of feature vector V first and then meta-cognitive logical classification strategy is established. Finally, comparison validation is made for the performances of English word segmentation test.
- Subjects
FEATURE extraction; NEURAL circuitry
- Publication
International Journal of Simulation: Systems, Science & Technology, 2016, Vol 17, Issue 40, p1
- ISSN
1473-8031
- Publication type
Article
- DOI
10.5013/IJSSST.a.17.40.35