Work-in-Progress—Embedding cross-cultural humorous and empathetic functions to facilitate language acquisition

Abstract

Despite the growing attention paid to conversational chatbots, there is a lack of research in either offering culturally related empathetic strategies when English as additional language learners encounter emotional discomfort or simulating a sense of humour in language acquisition. This paper aims to propose a multivariate normal distribution model for cross-cultural class, BERT for humour detection and response, and NRC VAD to compute empathetic intensity values. The novel algorithm will contribute to significant and long-term outcomes of language learners when exposed to new cultural, cognitive and psychological experiences.