Abstract

Language Chatbot has widely used in customer service and personal assistant for task orientated, interactive chats in special domains, knowledge base for question-answer systems, in general, chatbot including automatic speech recognition (ASR), natural language understanding (NLU), dialogue management (DM), natural language generation (NLG), speech synthesis (SS). In our research, we proposed a transfer learning-based English Language learning chatbot with THREE levels learning system in real-world application, which integrate recognition service from Google and GPT-2 from Open AI with dialogue tasks in NLU and NLG at miniprogram of WeChat.

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