Earticle

본고는 일본 『現代用語の基礎知識』 2001년과 2019년 ｢若者ことば｣ 를 비교 분석해 20년 경과 시점의 ｢若者ことば｣ 사용양상 추이를 살펴보았다. 2001년과 2019년의 20년경과 시점을 두고 기존의 ｢若者ことば｣와 최근의 자료를 대조하여 언어사용 변화양상과 함께 추이 흐름을 규명하고자 하였다. 또한, 2019년 ｢若者ことば｣의 사 용양상을 구체적으로 고찰하여 상위 12범주에 대한 의미를 재분류하여 유형화하고, 2001년 하위 13범주와 비교 분석하여 지속 수록 어휘, 미수록 어휘, 새로운 어휘를 중심으로 『現代 用語の基礎知識』 ｢若者ことば｣ 사용의 추이와 양상에 대해 살펴보고자 하였다. 분석결과로, 2001년과 2019년 20년 경과시점의 『現代用語の基礎知識』 ｢若者ことば｣의 그 대로 지속적으로 수록되고 있는 ｢若者ことば｣로는 총 39어휘로 약 8%로 도출되었다. 2001년 분야별 하위범주의 ‘정신상태’ 2019년 상위범주에서는 ‘어른도 무심코 사용하는 표 현’이 1위를 차지하였고, 현대 사회의 영향에 따라 기존의 분류 변화법의 특징을 크게 나누어 상위범주 4가지 분류에서 12가지로 변화된 것이 큰 차이점이라고 볼 수 있다. 또한, 『現代用語の基礎知識』의 ｢若者ことば｣ 자료의 큰 변화는 의미에 의한 분류에서 형 태에 의한 분류로 변화되고 있다는 것을 알 수 있다. 그리고 20년 지난 시점의 변화추이로 새롭게 생성된 어휘는 ‘SNS･사진’, ‘짧게 생략해서 말하는 표현’, ‘의미사용법의 진화형’과 관 련된 어휘였다. 기존의 ‘식생활’, ‘인간관찰’, ‘정신상태’ 관련된 어휘보다는 인터넷의 영향, 정 보화 및 SNS의 사용으로 인한 관련어와 함께 ‘약어’, ‘약자’의 ｢若者ことば｣ 사용양상 비중이 점점 더 증가하고 있고 앞으로도 더욱 더 확대될 것이라고 예측할 수 있었다.

This study attempted to clarify the background of the period and the pattern of language use and the flow by contrasting the existing “young people’s language” and the recent “young people’s language” with the passage of 20 years from the 2000s to the present. In addition, the recent study on the use of “young people’s language” and comparative analysis of “young people’s language” included in 2001 and 2019 Basic Knowledge on Modern Terms” I tried to look at. The brief sum Above, as a result of analyzing the ``young people's language'' contained in Basic Knowledge on Contemporary Terms published in 2001, it was found that Japanese youth were sensitive to fashion and fashion and used a lot of ambiguous expressions that obscure their arguments. This is a marked increase in the number of vocabulary for message terms and Twitter terms through SNS. This can be confirmed that there has been a change in the language use patterns of young people with the trend of the times. mary of the review results is as follows.

The purpose of this study was to examine the use of machine translation by Uzbek-speaking Korean learners, focusing on their usage patterns, attitudes, perceptions, and expectations, as well as identifying the educational implications of using machine translation. An online survey, lasting two weeks, involved 85 Korean language learners from universities in Korea and Uzbekistan. The main findings indicated a high reliance on machine translation for Korean language learning, with the majority of respondents using machine translations to find accurate vocabulary and expressions. Regarding their attitudes towards machine translation, learners mainly utilized it for literal communication, reading, and writing, and were generally satisfied with them, especially as tools for learning spellings and pronunciations. The use of machine translation significantly influenced learners’ confidence, interest in learning, and anxiety reduction. In terms of perception, learners found machine translation effective for learning Korean vocabulary, expressions, and writing, but also perceived machine translators as sources of stress and anxiety. Expectations for using machine translation were high for completing tasks in vocabulary, expression, and writing, but low for improving grammar skills and producing error-free Korean expressions.

This paper examines the usage patterns of the self-referential term ‘jibun’ (自分) in the speech of Japanese language learners, exploring the implications of these patterns for language education. The results indicate that when ‘jibun’ is used as a self-referential term, it most frequently refers to the speaker, similar to the first-person pronoun ‘watashi’ (私). On the other hand, the usage of ‘jibun’ to refer to an unspecified collective, serving an objective function, was less than half as frequent. An examination of the contexts in which ‘jibun’ was used revealed that it most frequently appeared in statements describing the speaker’s personal situations, emotions, and thoughts—what can be categorized as ‘internal states.’ Following this, ‘factual descriptions,’ where events or circumstances were narrated, also appeared frequently. In contrast, the use of ‘jibun’ to refer to an unspecified collective, as seen in generalized statements or expressions of duty, was much rarer, with ‘assertions’ being the least frequent type of utterance. These findings reveal that intermediate learners were the group that used ‘jibun’ most frequently, primarily employing it as a first-person pronoun, substituting for pronouns like ‘watashi’ (私). This suggests that while learners are exposed to more diverse forms of Japanese as they progress, they may not have fully mastered the nuanced distinctions, leading to the indiscriminate use of the term at certain stages. Moving forward, there is a need to reassess the learning materials and develop more targeted instructional plans in order to help learners acquire more natural-sounding Japanese by studying the authentic use of the language by native speakers.

본 연구는 유사도시의 토지용도별 전략사용량을 이용하여, 현재 건설 중인 중부신도시의 토지용도별 CO2 배출원단위를 산정한 후 CO2배출량을 예측하는 것을 목적으로 한다. 이를 위해 관련문헌 고찰을 통해 CO2배출원을 설정하였다. 그리고 유사도시로 선정된 오창과학산업단지의 실제 CO2배출량을 측정하기 위해 전력소비량을 파악하였다. 그리고 이를 이용하여 동종업종의 에너지원별 CO2배출량 비율을 적용하여 총 CO2배출원단위를 산정하였다. 더 나아가 중부신도시에 적용하기 위한 보정지수를 개발하여 도시특성을 반영한 토지용도별 CO2배출원단위를 산정하였다. 그 결과, 중부신도시는 1)태동기에 147,542톤, 2)확장기에 266,362톤의 CO2를 배출할 것으로 나타났다.

This study has intented to forecast CO2 emission of the Jungbu New City under construction in accordance with land use patterns using electricity usage in a similar city. To reach this goal, this study has selected the sources of CO2 emission through reviewing related literatures. After a field survey, this study has found only electricity usages among the sources in Ochang Technopolis and calculated the CO2 emission units according to land use patterns using correction index. As a result, CO2 emissions by two development phases are as follows: 1) during the first phase, Jungbu New City may emit 147,542t CO2 in total; 2) during the second phase, 266,362t CO2 in total.