论文标题
学习外语的对话代理 - 调查
Conversational agents for learning foreign languages -- a survey
论文作者
论文摘要
对话练习虽然对所有语言学习者至关重要，却可能具有挑战性地获得足够的且非常昂贵。聊天机器人是开发的计算机程序，以与人类进行对话。它们被设计为具有有限但对话能力增长的软件化身。聊天机器人的最自然和潜在强大的应用是符合其基本性质 - 语言实践。但是，他们在正式语言学习中的作用和结果目前充其量是切线。该地区的现有研究通常集中在聊天机器人的可理解性以及他们对用户激发的动力上。在本文中，我们提供了学习语言的聊天机器人的概述，批判性地分析了现有方法，并讨论了未来工作的主要挑战。
Conversational practice, while crucial for all language learners, can be challenging to get enough of and very expensive. Chatbots are computer programs developed to engage in conversations with humans. They are designed as software avatars with limited, but growing conversational capability. The most natural and potentially powerful application of chatbots is in line with their fundamental nature - language practice. However, their role and outcomes within (in)formal language learning are currently tangential at best. Existing research in the area has generally focused on chatbots' comprehensibility and the motivation they inspire in their users. In this paper, we provide an overview of the chatbots for learning languages, critically analyze existing approaches, and discuss the major challenges for future work.
