Spoken Language Fluency Via Live Situational Language Practice On an AI-Driven App

Proceedings of The 3rd International Academic Conference on Teaching, Learning and Education

Year: 2021

DOI:

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Spoken Language Fluency Via Live Situational Language Practice On an AI-Driven App

Pimlada Amphichaluay, Khachon Somwong

 

ABSTRACT: 

A Foreign Language Learning Platform is provided which uses NLP in situational dialogs and simulates active conversations to facilitate voice-based language acquisition by a user.

The platform presents multiple themed situational dialogs that simulates and determines stress and interaction of live dialogs by the user with the platform. For example, the situational dialogs may include a Japanese native language speaker learning to book a taxi in English language or ordering food in English language or asking for directions in English language.

At the core of the platform is a proprietary approach that bypasses a requirement for an exact response from the user allowing multiple responses to the dialog which intensifies the live interaction in the dialogs. To simulate a live language exchange as closely as possible, the NLP model references multiple alternatives so there is more than one response to a situation. Multiple language form alternatives include but are not limited to, nouns, verbs, synonyms, vocabulary, grammar, and other parts of speech.

The platform can also offer hints to speakers during the dialogs via assisted hints as well as multiple testing options pre- and post-dialog.

Keywords: emerging technologies, AI-driven app, real-time interaction, AI teacher and coach, Situational language learning through dialog.