  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.
