Conversational Agents for Learning Foreign Languages a Survey
| Autor: | Jasna Petrovic, Mladjan Jovanovic |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Artificial Intelligence Computer science business.industry Foreign language Computer Science - Human-Computer Interaction Human-Computer Interaction (cs.HC) Artificial Intelligence (cs.AI) Software Work (electrical) Human–computer interaction Formal language Natural (music) Line (text file) business |
| Zdroj: | Proceedings of the International Scientific Conference - Sinteza 2020. |
| DOI: | 10.15308/sinteza-2020-14-22 |
| Popis: | 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. Comment: Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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