2020, Vol.70, No.

Korean Semantics 2023 KCI Impact Factor : 1.11

pISSN : 1226-7198 / eISSN : 2734-0171
https://journal.kci.go.kr/semantics

This paper investigates semantic relation which is captured by the word embedding(Word2vec). As precedent researches using this methodology already have reviewed the effectiveness of study on the semantic similarity or relativeness of lexical units, it is focused on that which specific properties could be identified. In particular, not only lexical units but also grammatical units were included in this study as the objects. To sum up, it is hard to say that a certain specific type of relation such as synonymy, antonymy, hyponymy, meronymy, or contrastive relation is caught saliently by the word embedding. Rather various types of relations are widely observed since the related words which compose lexical field with target word are extracted under the influence of individual context(especially register). Generally, the results are heavily dependent on the contexts of word usage. Meanwhile, even though it was not enough in terms of grammatical units, there are two small but significant achievements. The first is that the word embedding shows relatively better results in some grammatical categories. And the second is that periphrastic constructions are worthy to be considered equal to single morpheme concerning grammatical function.

This paper is a study of grammaticalization in the same ending repetition compositions. This Reputation Construction of the Same Ending in Korean is basically a coordination construction. This has two items of the preceding and the latter. However, Some of the latter items change their syntactic and semantic characteristics, and so add a special meaning to the preceding items. The meaning is the speaker’s negative emotions about the proposition. In other words, it represents emotional modality in the modality category. Examples of these are ‘-go jasigo(-고 자시고), -go eojjeogo(-고 어쩌고), -go malgo(-고 말고), -go mwogo(-고 뭐고), -na mana(-나 마나), -dana mworana(-다나 뭐라나) and -ne jjeone(-네 어쩌네) etc. The latter items of these compositions can be combined with various forms as the syntactic characteistics they originally had disappear.

This study attempted to capture changes in language use by using statistical methodology that enables detailed and accurate observation of language phenomena hidden in large corpus. To this end, eight contexts of emotion words were extracted from corpus of early 20C and late 20C and corpus analysis was performed. In this study, the method used to grasp the change of language semantic use is to analyze the language semantic information by substituting a vector space having size and direction. By using the statistical weight(TF-IDF), semantic distance measurement using cosine similarity, and density, the corpus was compared to understand the change pattern. At this time, we examined how the semantic change is made concretely by analyzing and comparing the categories and networks that are formed by the relationship of contexts rather than isolated units. As a result of the study, it was possible to capture general meaning changes such as widening and narrowing of meanings in terms of emotional words, and pejorative and ameliorative of meanings.(Cyber Hankuk University of Foreign Studies)