基于CBR的英汉双语语境模型智能构建研究

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-06-08 DOI:10.3233/JIFS-219123

Yanlan Shi

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引用次数: 2

摘要

本文简要回顾了基于情境的案例推理机制和第二语言习得理论，分析了案例推理在双语情境知识表示中的可行性。在此基础上，提出了双语制。语境知识表示CBR系统的计算模型、算法和总体实现过程是机器学习和人工智能理论在第二语言习得理论研究中的初步探索。旨在为二语习得研究提供新的研究方法和视角。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Study on intelligent construction of English-Chinese bilingual context model based on CBR

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.

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.