Sentence-final particles serve an essential role in spoken Japanese because they express the speaker's mental attitudes toward a proposition and/or an interlocutor. They are acquired at early ages and occur very frequently in everyday conversation. However, there has been little proposal for a computational model of acquiring sentence-final particles. This paper proposes Subjective BERT, a self-attention model that takes various subjective senses in addition to language and images as input and learns the relationship between words and subjective senses. An evaluation experiment revealed that the model understands the usage of "yo", which expresses the speaker's intention to communicate new information, and that of "ne", which denotes the speaker's desire to confirm that some information is shared.

翻译：最后判决粒子在日语中起着关键作用,因为它们表达了发言者对一个建议和(或)对话者的精神态度,它们都是在幼年获得的,在日常谈话中经常发生,然而,几乎没有人提议采用获得判决最终粒子的计算模型,本文建议采用主观BERT,这是一种自我注意模型,除了语言和图像作为投入外,还具有各种主观感,并学习了文字和主观感之间的关系。评价实验表明,该模型理解“yo”的用法,这表明发言者打算传播新信息,而“ne”则表示发言者希望确认某些信息是共享的。