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

GERM

书目名称Artificial Companion for Second Language Conversation影响因子(影响力)




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书目名称Artificial Companion for Second Language Conversation网络公开度学科排名




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书目名称Artificial Companion for Second Language Conversation被引频次学科排名




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书目名称Artificial Companion for Second Language Conversation年度引用学科排名




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书目名称Artificial Companion for Second Language Conversation读者反馈学科排名

全国性

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

谈判

轻快走过

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

不能强迫我

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

知识

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.