Earticle

본 연구의 목적은 국제한국언어문화학회의 학술지에 실린 논문의 연구 경향을 분석하여 학회의 정체성을 공고히 하고 학회지가 나아가야 할 방향을 모색하는 데에 있다. 이를 위해 창간호부터 17-3호까지의 학술지에 게재된 440편의 논문을 대상으로 키워드 네트워크 분석법과 내용 분석법을 병행, 적용하여 연구 경향을 분석하였다. 네트워크 분석 결과 키워드 출현 빈도 측면에서는 ‘한국어교육, 문화 교육, 한국어, 언어문화, 한국어 교재’ 등의 빈도가 높은 것으로 나타났고, 이를 시기별로 구분했을 때 ‘한국어교육, 문화교육, 한국어, 요구분석, 한국어 교재’ 등은 시기와 구분 없이 출현 빈도가 높았으나 등재지 이후 시기에는 보다 한국어교육에 초점화된 키워드의 빈도가 높게 나타났다. 중심 구조 측면에서는 ‘한국어교육, 문화교육, 언어문화, 한국어 교재/한국어, 한국 문화/문화’ 등의 순으로 연결중심성 값이 높게 나타났고 이 키워드들은 전체 시기의 연구 경향을 대표한다고 볼 수 있다. 내용 분석 결과 전체적으로 한국어교육 관련 주제가 많은 것으로 나타났으며 시기별로 살펴보면 초창기 언어문화를 포함한 문화 자체를 주제로 한 연구가 꽤 많았으나 최근으로 올수록 언어 관련 연구와 교육 관련 연구의 비중이 점차 높아지는 것으로 나타났다. 연구방법 측면에서는 전반적으로는 질적연구 방법의 비중이 높고 시기별로 보면 최근으로 올수록 설문조사 연구 및 양적 연구방법의 비중이 증가하는 경향을 보였다.

The purpose of this study is to analyze the identity of the society by analyzing the research trends of papers published in the journals of ‘the International Network Korean Language and Culture’, and to seek the direction the journal should proceed. To this end, the research trend was analyzed by applying the keyword network analysis method and the content analysis method in parallel for 440 papers published in the journals published in the first issue through 17-3. As a result of network analysis, in terms of the frequency of occurrence of keywords, the frequency of ‘Korean language education, culture education, Korean language, language culture, Korean language textbooks’ was found to be high. When categorized by period, ‘Korean language education, cultural education, Korean language, Needs analysis, and Korean textbooks’ appeared in a high frequency regardless of the period, but the frequency of keywords focused on Korean language education was higher than in the period after registration. In terms of the central structure, the value of connection center was high in the order of ‘Korean education, cultural education, language culture, Korean textbooks/Korean, and Korean culture/culture’, and these keywords can be considered to represent the research trend of the entire period. As a result of the content analysis, it was found that there were many topics related to Korean language education. Looking at each period, there were quite a lot of studies on the subject of culture itself, including language culture in the early days. In terms of research methods, overall, the proportion of qualitative research methods is high, and the proportion of survey research and quantitative research methods tends to increase as they become more recent.

The objective of translation and interpreting education is to equip students with the practical knowledge and skills needed in the translation and interpreting markets. To achieve this, students are given practical training in accurately understanding the source language and adequately rendering its meaning in the target language. The texts used in these trainings should appropriately serve the purpose of interpreting education, and speech transcripts are widely preferred and used. Here, the current study aims to investigate the areas of training that speech transcripts can be the most and the least pragmatic in. Among the known lexical factors that impose difficulties to interpreting, six were identified for the purpose of our study: metaphors, idioms, native expressions, proper nouns, numbers and technical terms. The analysis of the appearance frequency of each factors showed that proper nouns appeared the most and idioms the least in speech transcripts. This suggests that while speech transcripts can be a suitable source text when giving training in rendering proper nouns to target language, they are less appropriate for idioms-to-target-language training. Implications of the findings are further discussed.

Purpose: To identify research trends and assess the academic influence of frequently used keywords through examining the correlation between author keyword frequency and total citation frequency in research articles published in the Korean Journal of Emergency Medical Services from 2012 to 2023. Methods: Author keywords were extracted from selected articles, and their corresponding total citation frequencies were analyzed. Pearson’s correlation and simple regression analyses were conducted to examine the relationship between keyword frequency and citation count. Additionally, keywords were classified into four groups based on the total citation frequency of the papers in which they appeared and their distribution was analyzed. Results: Revealed a significant correlation between author keywords frequency and total citation frequency. Frequently used keywords generally have higher citation counts, indicating their academic influence. However, in emergency medical services research, repeated keyword usage does not always lead to high citation rates, and the overall citation frequency of journals is relatively low. Conclusion: This study provides insights into the relationship between author keyword frequency and the academic impact of emergency medical service research. The results suggest that frequently used keywords may enhance research visibility; however, citation rates vary depending on the research focus. Future studies should consider systematic keyword selection to improve academic influence.

本稿の目的は、日本語東京方言と韓国語大邱方言の名詞の音調をアクセント論の観点から照射し、両者の共通点を明らかにするところにある。先行研究と言語事実に立脚し、音韻論的なレベルである<アクセント体系>やアクセント型の<出現頻度>などといった観点から詳細な分析を加えた結果、両言語において、次の５つの点が共通していることが明らかとなった：　　　　①下げ核を有するピッチアクセント言語である。　　②n+1個のアクセント型の対立がある（n:音節数․モーラ数）。　　③非均衡アクセント言語である。　　④次末アクセントを基本（default）とする（次末アクセント規則を持つ）。　　⑤アクセントを置きにくい、音韻論的に「弱」の環境が存在する。 つまり、日本語東京方言と韓国語大邱方言の音調は音声的には大きく異なるが、アクセント論的には極めて類似したタイプの言語と言いうる。また、④の次末アクセント規則は言語類型論的にも注目すべき特徴である。何となれば、次末アクセント規則は、ラテン語やラテン語と系統的、歴史的に関連のある諸言語をはじめ、世界の多くのアクセント言語に共通して観察されるもので、アクセント規則として一般性が高いからである。こうした一連の言語事実は、今後の日韓両言語のアクセント研究のみならず、大邱方言話者に対する日本語教育にも裨益するところがあろう。

본 연구는 다양한 시각탐색 상황에서 표적 출현 빈도에 의한 강력한 위치 확률 학습 효과를 확인하고자 수행되었다. 실험 1에서는 기댓값의 통제 여부가 표적 출현 빈도에 의한 공간주의 편향에 미치는 영향을 확인해보았다. 표적은 항상 특정 사분면에 높은 빈도로 출현하도록 조작하며 실험 1A(보상값 통제)는 모든 사분면에 높은 보상과 낮은 보상이 동일한 확률로 출현하여 고빈도 사분면에서 기댓값이 커지도록 조작하였다. 한편, 실험 1B(기댓값 통제)는 표적이 고빈도 사분면에 출현할 때 저빈도 사분면에 출현할 때에 비해 낮은 보상을 제공함으로써 전체적인 사분면에서 획득하는 기댓값이 동일하도록 통제하였다. 실험 2에서는 보상의 예측력을 높이기 위해 탐색 배열이 제시되기 이전에 보상 단서를 제공한다는 것에서만 차이가 있으며, 실험 3에서는 다중표적 탐지 과제를 통해 탐지해야 할 표적들 간 주의 경쟁이 발생하도록 하였다. 실험 결과, 일련의 실험 모두 고빈도 사분면에서의 반응 속도가 저빈도 사분면에 비해 빨랐다. 본 결과는 기댓값이 통제되고 보상 예측력이나 주의 경쟁이 증가하는 시각탐색 상황에서 일관되게 표적 출현 빈도에 의한 위치 확률 학습이 강력하게 발생한다는 것을 시사한다.

The present study aimed to examine the strong influence of location probability learning(LPL) depending on the frequency of target appearance in various visual search environments. Experiment 1 confirmed the effect of controlling the expected value on the spatial attentional biases by target prevalence. The target is always frequently presented at a specific quadrant. Experiment 1A(Reward Value Control) was constructed that the expected value was manipulated to increase in the high-frequency quadrant by presenting high and low rewards with even distribution in all quadrants. Meanwhile, Experiment 1B(Expected Value Control) was constructed to control the expected value in all quadrants by presenting a lower reward when the target appeared in the high-frequency quadrant compared to the low-frequency quadrant. The difference in the visual search task of Experiment 2 was that reward cues were provided before beginning the search array to enhance the prospect of reward. In Experiment 3, the multi-target detection task was used to manipulate the induced situation with attentional competition among to-be-detected targets. As a result, all experiments showed that the reaction time in the high-frequency quadrant was significantly faster than in the low-frequency quadrant. These results suggest that the effect of LPL affected by the target prevalence is consistently robust in visual search environments with the controlled expected value and high reward prospect or increase of attentional competition.

본 연구는 단서-의도 간 연합 강도와 단서 출현 빈도가 미래계획기억(prospective memory) 수행에 미치는 효과를 탐색하고자 계획되었다. 총 230명의 대학생 참가자가 사건-기반 미래계획기억 패러다임을 사용한 두 개의 실험에 참여하였다. 단서-의도 간 연합 강도는 지시단계에서 제공되었던 PM 목표단어들의 일부를 교체하는 방식으로 참가자 내 변인으로 조작되었다. 단서 출현 빈도는 동시과제가 진행되는 동안 목표단어들이 제시되는 횟수를 통해 참가자 간 변인으로 조작되었으며, 목표단어들은 한 번 제시되거나 세 번 제시되었다. 두 실험 결과들은 모두 동일하게 나타났다. 먼저 단서-의도 간 연합 강도가 약한 조건보다 강한 조건에서 PM 정확률이 높았다. 단서 출현 빈도의 결과는 연합 강도 조건에 따라 상이하게 나타났다. 단서-의도 간 연합 강도가 약한 조건에서는 단서가 반복 제시되면 PM 정확률이 높아진 반면, 연합 강도가 강한 조건에서는 단서 반복 제시 조건에 따라 PM 정확률에 차이가 없었다. 본 실험 결과는 부호화 단계에서 단서-의도 간 강한 연합이 PM을 성공적으로 수행하는 데 중요한 요인이며, 부호화 시에 단서-의도 간 연합 강도가 약하더라도 과제를 수행하는 동안 단서가 반복 제시되면 PM 수행을 개선시킬 수 있는 가능성을 시사하였다. PM을 수행하는 과정에서 단서에 대한 자발적 인출 과정이 PM 수행에 미칠 수 있는 효과에 대한 이론적 논의가 제안되었다.

The present study was aimed to investigate the effect of cue-intention association and target frequency on prospective memory performance. Total 230 undergraduates participated in two experiments administered with EBPM paradigm. The association between cue-intention was manipulated within subjects by altering half of target words. The frequency of target presentation was manipulated between subjects. Half of participants were randomly assigned in 3 times presentation condition and the other half of participants were in one time condition. Results of two experiment remained steady. Participants showed higher accurate response rates with strongly associated cue-intention target words than with weak targets. There was a two way interaction between cue-intention association and target frequency. In weakly associated cue-target condition, participants performed better with 3 times target presentation than with just one time presentation. When the association was weak, no difference was observed between frequency conditions. These findings suggest that the repetition of target appearance can simply improve prospective memory performance even though the association between cue-intention was poor formed at encoding phase. Theoretical implications were also discussed with respect to spontaneous retrieval in prospective memory.

본 연구는 기계학습의 키워드 출현 빈도 분석과 CONCOR(CONvergence of iteration CORrealtion) 기법을 통한 ICT 교육에 대한 흐름을 탐색한다. 2018년부터 현재까지의 등재지 이상의 논문을 ‘ICT 교육’의 키워드로 구글 스칼라에서 304개 검색하였고, 체계적 문헌 리뷰 절차에 따라 ICT 교육과 관련이 높은 60편의 논문을 선정하면서, 논문의 제목과 요약을 중심으로 키워드를 추출하였다. 단어 빈도 및 지표 데이터는 자연어 처리의 TF-IDF를 통한 빈도 분석, 동시 출현 빈도의 단 어를 분석하여 출현 빈도가 높은 49개의 중심어를 추출하였다. 관계의 정도는 단어 간의 연결 구조와 연결 정도 중심성을 분 석하여 검증하였고, CONCOR 분석을 통해 유사성을 가진 단어들로 구성된 군집을 도출하였다. 분석 결과 첫째, ‘교육’, ‘연 구’, ‘결과’, ‘활용’, ‘분석’이 주요 키워드로 분석되었다. 둘째, 교육을 키워드로 N-GRAM 네트워크 그래프를 진행한 결과 ‘교 육과정’, ‘활용’이 가장 높은 단어의 관계로 나타났다. 셋째, 교육을 키워드로 군집분석을 한 결과, ‘교육과정’, ‘프로그래밍’, ‘학생’, ‘향상’, ‘정보’의 5개 군이 형성되었다. 이러한 연구 결과를 바탕으로 ICT 교육 동향의 분석 및 트렌드 파악을 토대로 ICT 교육에 필요한 실질적인 연구를 수행할 수 있을 것이다.

In this study, trends in ICT education were investigated by analyzing the frequency of appearance of keywords related to machine learning and using conversion of iteration correction(CONCOR) techniques. A total of 304 papers from 2018 to the present published in registered sites were searched on Google Scalar using “ICT education” as the keyword, and 60 papers pertaining to ICT education were selected based on a systematic literature review. Subsequently, keywords were extracted based on the title and summary of the paper. For word frequency and indicator data, 49 keywords with high appearance frequency were extracted by analyzing frequency, via the term frequency-inverse document frequency technique in natural language processing, and words with simultaneous appearance frequency. The relationship degree was verified by analyzing the connection structure and centrality of the connection degree between words, and a cluster composed of words with similarity was derived via CONCOR analysis. First, “education,” “research,” “result,” “utilization,” and “analysis” were analyzed as main keywords. Second, by analyzing an N-GRAM network graph with “education” as the keyword, “curriculum” and “utilization” were shown to exhibit the highest correlation level. Third, by conducting a cluster analysis with “education” as the keyword, five groups were formed: “curriculum,” “programming,” “student,” “improvement,” and “information.” These results indicate that practical research necessary for ICT education can be conducted by analyzing ICT education trends and identifying trends.

This study primarily categorized the sentences containing the complement ‘de’ characters from Corpus, which shows the actual language use of Chinese native speakers, and analyzed its frequency of appearance and distribution by introducing Corpus Linguistics in order to analyze Complement Structure with ‘de’; which is used to emphasis the degree of the verbs. Also the characteristics of the structured type of Complement Structure with ‘de’ were examined by focusing on the extracted sentences. Firstly, relating to the name and classification of Complement Structure with ‘de’, the boundaries are ambiguous with meaning criteria like ‘degree’, ‘state’, and ‘result’, it is reasonably judged to classify it on the principle that form and meaning are combined. Secondly, Complement Structure with ‘de’ is classified into seven types depending on the structure of the complement: pattern(1) NP+V/A+‘de’+Adv, (2) …+de’+AP, (3) …+‘de’+VP, (4) …+‘de’+像…一樣, (5) …+‘de’+NP2+VP, (6) …+‘de’+NP2, and (7) …+‘de’+Idiom, etc. The order on the basis of the frequency of appearance is pattern(2) → pattern(3) → pattern(5) → pattern(1) → pattern(4) → pattern(6) → pattern(7). I think that statistical analysis through these data can also be used to establish a basis for determining the basic sentence patterns in teaching and education, that is, exemplary sentences. Thirdly, the phased teaching plan of Complement Structure with ‘de’ was suggested as follows focusing on four types of sentence patterns (1), (2), (3), and (5) with high ratio of appearance. The above discussion is likely to be exploratory to highlight the necessity of a step-by-step teaching plan. I hope this intention becomes widespread so that the existing learning methods for Complement Structure with ‘de’ can be more systematic the appropriate teaching methods to be posed.

According to the catch condition of Scomberomorus niphonius in autumn season affected greatly, the catch price for the set net fishery. Catch production and the selling price were relatively even except 2009 showing a great big blooming jellyfish of Nemopliema nomurai in 2008~2011. The fishing cost of the set net fishery in Yeosu has increased gradually by the decrease of catch production and unexpected environmental change like as jelly fish blooming. The increase of fishing cost diminished net income and caused a negative impact in profitability. The lowest Fisheries ratio of gross profit to gross costs the set net fishery were appeared 60.2% in 2010, respectively. Bycatch was highest in 2008 and lowest in 2009. In general, the bycatch was occurred from May to July every year and when Scomber japonicus was most dominant in the catch price by bycatch had a advantage in the profit side. However, the catch increase of immature small fishes by the bycatch, which will bring about the decrease of fisheries resources. Finally, the present state in set net fisheries will act as a defect on the long-term management of fisheries resources.

Using 316 plaster models of dental arches of Korean, (ages from 16 to 53) the auther observed the occlusion forms by the Welcker's classifying method. The results were as follows: Psalidontie type is most frequency seen, and its frequency is about 87% in male and about 91% in female. The frequency of occlusal form was decreased in the order of Stegodontie, Lalidodontie and Opisthodontie. Type. There were seldom appeared Progenie and Hiatodontie type.

[연구목적] 본 연구는 과학 기술 연구 동향과 기술 도입 기대 효과를 함께 분석하는 방안을 바이오 에너지 분리막 분야에 적용하여 연구개발 전략 제시에 도움이 되는 연구 방안을 제시하고자 하였다. [연구방법] 본 연구는 분리막 기술 연구 방향과 기대효과를 분석하기 위해 각각에 대해두 가지 연구방법을 이용하였다. 우선 텍스트 마이닝을 통해 단어출현빈도분석으로 선행연구의 연구 방향을 확인하였고, AHP를 통해 기대효과를 알아보았다. [연구결과] 분석결과 분리막 기술의 연구 방향은 주로 분리막 관련 다양한 공정과 공정개선을 통한 성능 향상에 있는 것으로 확인되었다. 분리막 기술을 통한 기대 효과는 바이오 에너지 공정에서 발생하는 환경 문제 해결이 주된 것으로 나타났다. [연구의 시사점] 분리막 관련 연구는 분리막 성능에 중점을 두고 진행되고 있으며 분리막을 실제 공정에 도입하는 측에서 기대하는 부분은 분리막 도입으로 인한 효과와 분리성능 향상에 의한 효과에 중점을 두고 있음을 확인하였다. 이는 분리막 기술 연구가 실제니즈를 잘 반영하여 이루어지고 있음을 보여준다. 이처럼 특정 기술의 연구 방향과 도입에 따른 기대효과를 함께 분석할 수 있으며, 이는 연구개발 전략 제시에 도움이 될 수 있음을 확인하였다.

[Purpose] Purpose of this study is to propose a research methodology that is helpful in presenting the R&D strategy by applying analysis on research trends and expected effect of technology introduction together in the field of bioenergy membranes. [Methodology] For this purpose, we used two research methodologies. Word frequency analysis of text mining was used to analyze the research trends of previous studies, and the expected effect was investigated through AHP. [Findings] This study found that the research trends of membrane is mainly to improve performance through various processes and expected effect focus on environmental problem solving arising from bioenergy process. [Implications] It was confirmed that main research trends of membrane is performance of membrane and expected effect is performance improvement by introduction of membrane in bioenergy processes. This shows that research on membrane is well reflected in actual needs. This methodology can be helpful in presenting the consumer－oriented R&D strategy.

The underwater sound transmission system(USTS) was experimentally made to monitor the cetacean's appearance by telemetry, and then its system was tested to evaluate its performance from July to October, 2007 at the Kimnyeong berth and the dolphin's breeding ground of Pacific Land in Jeju island, respectively. The results showed that the sweep sound in the trial experiment and the whistle sound of bottlenose dolphin(Tursiops truncatus) were favorably received by telemetry. Therefore, we could confirm the USTS is able to monitor the cetacean's appearance in real time without direct observation at sea within effective range of code division multiple access(CDMA) communication method.

본 논문에서는 한국어 형태소 분석의 성능향상을 위해서, 어절에서 미등록어를 인식하여 자동으로 사전을 구축하는 방법을 제안한다. 제안하는 사전 구축 방법은 전문 분석 기반 사전 구축 방법과 웹 출현빈도 기반 사전 구축방법으로 구성되어 있다. 전문 분석 기반사전 구축 방법은 전체 문서에서 반복적으로 나타나는 문자열을 미등록어로 인식하고, 웹 출현빈도 기반사전 구축 방법은 반복되지 않은 문자열을 웹 문서에서 검색하여 그 출현빈도를 바탕으로 미등록어를 인식한다. 실험결과 전문 분석만을 바탕으로 하는 기존 접근방법에 비해서 웹 문서에서의 출현빈도도 함께 고려하여 제안하는 사전 구축 방법은 32.39% 정도 재현율이 높게 나타났다.

In this paper, we propose a method of automatically constructing a dictionary by extracting unknown words from given eojeols in order to improve the performance of a Korean morphological analyzer. The proposed method is composed of a dictionary construction phase based on full text analysis and a dictionary construction phase based on web document frequency. The first phase recognizes unknown words from strings repeatedly occurred in a given full text while the second phase recognizes unknown words based on frequency of retrieving each string, once occurred in the text, from web documents. Experimental results show that the proposed method improves 32.39% recall by utilizing web document frequency compared with a previous method.

A statistical change-point analysis examined the existence of climate regime shift in the time series of the Asian dust frequency in Seoul during spring. As a result, the Asian dust frequency in Seoul during spring has sharply increased since 1993. To investigate the cause of the increasing Asian dust frequency in Seoul during spring, therefore the averages during the period of 1993 to 2011 and the differences in large-scale environment during the period of 1974 to 1992 were analyzed. According to the analysis results for 850 hPa, 500 hPa, and 200 hPa stream flows, northwesterly anomaly was formed from the Lake Baikal to the Korean Peninsula due to the intensification of anomalous anticyclonic circulation in Northern China. This northwesterly anomaly has become a major circulation that moves the sand particles from Northern China to Seoul.

최근 전자상거래 시스템에서 구매 촉진을 위해 사용하고 있는 핵심기술은 고객들로부터 얻어진 구매정보를 기초로 고객이 좋아할 만한 제품을 예측하여 고객에게 정보를 제공하는 추천시스템이다. 이러한 추천시스템을 위한 추천알고리즘으로서 협동적 필터링(collaborative filtering) 알고리즘이 많이 사용되고 있다. 이 논문에서는 기존의 협동적 필터링 알고리즘의 성능을 향상시킨 동시출현 빈도 개념 알고리즘과 제한 피어슨 알고리즘을 접목시켜서, 사용자 선호도의 예측 정확도를 좀 더 향상시킬 수 있는 새로운 방법을 제안하고, 실험을 통해서 제안한 방법의 예측 정확도의 우수성을 증명하였다.

This study starts with an investigation of the frequency of allophones from the narrowly transcribed data of (1) most frequently used 2000 words and (2) some passages of standard Seoul Korean. Consequently this entails the investigation of the frequency of phonemes by adding the number of allophones. These two investigations are conducted for the first time in the study of Korean phonology. Previous studies on the reported 'frequency of phoneme' are in fact studies on the 'frequency of letters' and the critical difference between these two types of studies has yet to be clarified accurately. This paper also reveals the proportional distribution of natural classes among Korean phonemes and letters.