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  • Open Access

    ARTICLE

    Research on College English Teaching Model Based on Decision Trees

    Hao Wu1,*, B. Nagaraj2

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 81-95, 2021, DOI:10.32604/iasc.2021.017654

    Abstract English teaching has always attracted much attention. However, the processes of its transmission and acquirement is often divided into two separate parts, which seriously hinders the effective implementation of its objectives. Teachers attach particular importance to the choice of the curriculum structure and teaching material. Students are busy comprehending the assignments their teachers deem important. Under such a scenario, the effective acquisition of knowledge and the development of sustainable comprehensive abilities are ignored. The random forest algorithm in machine learning applications could play important role improving on the current English teaching system. A random forest model is constructed using a… More >

  • Open Access

    ARTICLE

    Oral English Speech Recognition Based on Enhanced Temporal Convolutional Network

    Hao Wu1,*, Arun Kumar Sangaiah2

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 121-132, 2021, DOI:10.32604/iasc.2021.016457

    Abstract In oral English teaching in China, teachers usually improve students’ pronunciation by their subjective judgment. Even to the same student, the teacher gives different suggestions at different times. Students’ oral pronunciation features can be obtained from the reconstructed acoustic and natural language features of speech audio, but the task is complicated due to the embedding of multimodal sentences. To solve this problem, this paper proposes an English speech recognition based on enhanced temporal convolution network. Firstly, a suitable UNet network model is designed to extract the noise of speech signal and achieve the purpose of speech enhancement. Secondly, a network… More >

  • Open Access

    ARTICLE

    Construction and Application of the Multi-Intermediate Multi-media English Oral Teaching Mode

    Na Li*

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 807-815, 2020, DOI:10.32604/iasc.2020.010115

    Abstract The study of the English language has always been a focus of education and teaching in China. The traditional English language teaching model no longer meets the needs of modern education, especially when spoken in English. Spoken English represents the actual effect of English teaching to a certain extent. Good oral English ability reflects one's English level. The traditional oral English teaching mode is only limited to the interactive training of the oral mechanization between the teacher and student, or the non-targeted dialogue training with foreign teachers, which ignores the factors such as environment, language sense and emotion. With the… More >

  • Open Access

    ARTICLE

    The Implementation of an English Word Learning System Feedback System and Smartphone App

    Ye Zhang

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 207-214, 2020, DOI:10.32604/csse.2020.35.207

    Abstract Considering the issue of Chinese college students that are not interested in learning English and have a lack of enthusiasm for learning overall, a feedback and motivation application based on cloud computing to teach English vocabulary to Chinese college students has been developed. The mobile application can collect and analyze the problems that users encounter in the process of learning English through the cloud server in real-time, and advise on how to resolve these problems. The feedback system also allows users to access this data. In the case of uploading to designated teachers, teachers can adjust their teaching methods and… More >

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