Titlebook: Artificial Companion for Second Language Conversation; Chatbots Support Pra Sviatlana H?hn Book 2019 Springer Nature Switzerland AG 2019 Co

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全國(guó)性

Learning from Others’ Experiences book. Three large fields have impact on the presented research: ICALL, NLP and CA. Specific fields using CA for dialogue modelling are also of high relevance for this work. The current state of the art in the area of chatbots and conversational interfaces and the problems with evaluation of the di

談判

輕快走過

玩笑

Exposed Correctionss, this chapter will focus on the turn design and turn-taking in exposed-correction sequences. This will be followed by an analysis of accountings and emphasis means accompanying and highlighting the corrections. Finally, empirical findings will be discussed and a comparison with state-of-the-art pu

ADAGE

不能強(qiáng)迫我

Models of Learner-Error Correctionsrror correction for a Communicative ICALL application. Because proper error recognition is a crucial prerequisite for every correction, issues in the conceptual definition of an error in chat are discussed. Further, a model for automated generation of all types of exposed corrections except integrat

外露

知識(shí)

Method Evaluationof Communicative ICALL. This chapter evaluates the presented research and its implications for Communicative ICALL with respect to the SWOT model (Strengths, Weaknesses, Opportunities and Threats). Theoretical implications of the research and recommendation for the future Communicative ICALL will be

left-ventricle

Implementation of an Artificial Conversation Companioncorrections, many other practical design decisions need to be made, which are discussed in this chapter. The possibility of implementing the proposed models using chatbot technology is tested. The issues with the evaluation of such a system are discussed.