Entertainment content is far more than a source of enjoyment; it works as a practical, intuitive resource for learning language and culture. By engaging with films, music, and digital media, learners gain access to real-world language filled with contextual “hints” that support pronunciation, vocabulary, and cultural understanding. These natural cues reveal pronunciation patterns, idioms, and social dynamics that traditional resources often overlook, allowing learners to grasp the language as native speakers use it intuitively. It should be beyond the power of artificial intelligence applications.
In this talk, the speaker presents some methods grounded in computational intelligence that harness these educational “hints” within entertainment content. The first approach introduces an AI-driven system that combines generative AI and speech recognition to offer immediate, visual feedback on pronunciation and word choice. By transforming abstract feedback into accessible, image-based insights, the system provides learners with a dynamic, engaging way to improve language accuracy in real-time. Additionally, the speaker explores how common misinterpretations of foreign song lyrics can serve as playful pronunciation guides, making challenging sounds more intuitive through familiar auditory cues. For language educators, these approaches demonstrate how entertainment, enhanced by advanced computational tools, can transform language learning into an enjoyable and culturally enriching journey, providing students with a meaningful pathway to both linguistic and cultural fluency.
The above abstract is almost written through interactions with generative AI systems. Did you notice it? Do you think this kind of things really educate the linguistic ability? Discussions on that talk will seek the enjoyable future direction of language education with/without artificial intelligence approaches.