Ilhwan Kim & Seungyeon Lee, 2012 . The Utilization of a Co-occurrence Word Network of Adjective Synonym - Focusing on the adjectives related to ' 안타깝다 '. Language Information Volume 14. 61-81.

 

The following research selected five adjectives of 가엾다 , 딱하다 , 불쌍하다 , 안쓰럽다 , 안타깝다 among 안타깝다 -type adjectives of emotion using thesaurus and frequency in order to examine the relations of their co-occurrence nouns by constructing a network of their relations. The target words that were extracted based on the corpus and the degree of relevance of the co-occurrence words were measured by t-score, through which any coincidental results in the relations between the adjectives of emotion and the co-occurrence nouns were excluded. Furthermore, the degree of similarity of the adjectives of emotion was also measured by dividing the relations of the network between the adjectives of emotion and the co-occurrence nouns into the top counts of 10, 30 and 50. As a result, the more co-occurrence words were shared, the higher the degree of similarity was, as consequently, the less co-occurrence words were shared, the lower the degree of similarity was. Concurrently, similarities were discovered in that the adjectives 가엾다 , 불쌍하다 , 안쓰럽다 primarily co-occurred with nouns related to family such as 'father, mother, husband, wife, younger sibling' while the adjectives 딱하다 , 안타깝다 co-occurred with nouns such as 'story, news, circumstance, reality'. This research further examined the aspects and the similarities on how these five adjectives of emotion were used in Korean language textbooks. Given the fact that Korean language textbooks target foreigners, the usage of typical co-occurrence words was expected. However through the research, it was verified that there was a considerable difference in the co-occurrence words from the words that were present on newspapers. One of the reasons for the difference can be related to the fact that we used the corpus from newspaper articles. (Research Institute of Korean Studies (RIKS), Korea University ; Korean Language & Literature of Sejong University)

 

Keywords : co-occurrence word network, co-occurrence nouns, adjectives of emotion, degree of similarity, t-score, newspaper corpus, trends 21 corpus