Talk&Learn: Improving Conversation Experience and Creating Opportunities for Foreign Language Learning
This addresses the issue of poor conversation experience and wasted learning opportunities for foreign language learners, but appears incremental as it builds on existing RTTI systems.
The paper tackles the problem of unnatural and inefficient real-time translation interfaces by proposing Talk&Learn, which uses a 'Delay-Match' method to rearrange videos and translations, improving naturalness and efficiency while creating free time for contextual language learning.
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.