An Investigation of Applying BERT for Onomatopoeia’s Senses Classification

Abstract

Many kinds of onomatopoeia in Japanese have multiple meanings "gorogoro" is used in a different sense, such as "thunder rumbling" and "chilling out at home". From our previous research, it is known that determining the meaning of onomatopoeia is depend on the dependent verbs. However, there are also onomatopoeia without verbs. Additionally, the meaning determination may require extensive contextual information. In this paper, we examine the possibility of senses classification considering the appearance context of onomatopoeia using BERT pre-training model, which is a general-purpose language model.