Comparison of multiple recommendation methods of similar onomatopoeia

Abstract

Onomatopoeia is a generic name for onomatopoeia and mimetic words. Using onomatopoeia can express the behavior and state of things in more detail, widening the range of communication. However, learning onomatopoeia has been a difficult task for Japanese learners. There are several existing studies aiming at a support with onomatopoeia learning, while no platform is available to help learners find similar onomatopoeia based on different criteria. In this paper, we have developed a system that proposes similar onomatopoeia for an input in three manners: one with a dictionary, and two based on statistics. A comparison with an existing system shows the effectiveness of our approach and exposes some future issues.