Talk&Learn: Improving Conversation Experience and Creating Opportunities for Foreign Language Learning

TL;DR

Talk&Learn enhances real-time translation interfaces by rearranging video and speech streams to improve naturalness and efficiency, while also creating opportunities for contextual language learning during free time.

Contribution

The paper introduces 'Delay-Match', a novel method to improve RTTI naturalness and efficiency, and leverages free time for language learning.

Findings

Improved naturalness in conversation experience

Increased efficiency in communication

Enhanced language learning opportunities

Abstract

Existing Real-Time Translation Interfaces (RTTI) do not provide experience as natural and efficient as monolingual communication. Also, such systems do not provide functions supporting language learning. This results in the waste of both time and potential language context. In order to overcome the above limitations, we propose a solution named "Talk&Learn". Its core idea is to rearrange ("Delay-Match") the real-time videos and translated texts or speeches, so as to gain better naturalness and efficiency. At the same time, this will create extra free time for users. So we further propose to utilize the free time for contextual language learning.