Affiliation:
1. School of Languages and Media, Anhui University ofFinance and Economics, Bengbu, China
Abstract
The article briefly reviews the context-based view of the case-based reasoning mechanism and second language acquisition theories, and analyzes the feasibility of the application of CBR in bilingual context knowledge representation. Based on this, it proposes bilingualism. The computational model, algorithm and general implementation process of the system for contextual knowledge representation CBR system is a preliminary exploration of the application of machine learning and artificial intelligence theory in the study of second language acquisition theory. It is intended to provide a second language acquisition study to the new research methods and perspectives.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference16 articles.
1. “A Method of Construction of the Chinese and English Bilingual Translation Corpus Based on Web Data Mining”. Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on;Liu;IEEE,2009
2. “Fusion of reverse hierarchical alignment for Web-based English-Chinese bilingual dictionary construction”. International Conference on Machine Learning and Cybernetics;Zhang;IEEE,2010
3. A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection [J];Afza;Image and Vision Computing
4. Numerical simulation of advection–diffusion equation with caputo-fabrizio time fractional derivative in cylindrical domains: Applications of pseudo-spectral collocation method [J];Rubbab;Alexandria Engineering Journal
5. “Intelligent Management Model Based on CBR-SDA Approach -An Example of Smart Life Recommendation System for Choosing Clothes and Accessories”. International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing;Chen;IEEE Computer Society,2016
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