• 비교문화연구
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• 제28권
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• pp.141-161
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• 2012

Abusive language used by college students reflects current social attitudes and values. Adopting a comparative and cross-cultural perspective, this study examines the frequency and perceived severity of abusive language in English and Mandarin Chinese. Because abusive language often includes sexual connotations, this paper employs a particular concentration on sexism. Gender differences in the use of abusive language illustrate a male bias across cultures.

• 비교문화연구
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• 제32권
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• pp.167-179
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• 2013

This paper focuses on a sociologic approach, the theory of planned behavior (Ajzen 1991) and a sociolinguistic field, the language shift (Fishman 1991, Crystal 2000). It describes the theoretical background of language shift and briefly mentions the history of Hungarian language and Romanian language contacts. After presenting language use of the Hungarian minority students and explaining the theory of planned behavior, it turns to apply the theory of planned behavior to the language shift from the view of bilingual speaker(s). This paper wants to propose the application of the theory of planned behavior in language shift and open new perspective in bilingual research.

• 비교문화연구
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• 제24권
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• pp.62-83
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• 2011

The totality of language learning comprises three integrated components: linguistic, cultural, and attitudinal (Wilkes, 1983).Positively sensitizing students to cultural phenomena is urgent and crucial. A positive attitude toward L2 culture is a factor in language learning that leads to cross cultural understanding. This research examined, through a survey analysis, how three groups of students (one high school group and two university student groups) viewed the role of their foreign culture (i.e., American and British cultures) in achieving cultural understanding. The focus was upon how EFL learners approach the target language culture as well as their own culture.

• 비교문화연구
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• 제24권
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• pp.170-183
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• 2011

This study explored how a Chinese college student who previously had not reached a threshold level of Korean proficiency used L1 (Chinese) and L2 (English) as a tool to socialize into Korean (L3) culture of learning over the course of study. From a perspective of language socialization, this study examined the cross-linguistic influence of L1 and L2 on the L3 acquisition process by tracing an approach to language learning and practices taken by the Chinese student as a case study. Data were collected through three methods; interview protocols, various types of written texts, and observations. The results showed that the student used English as a means to negotiate difficulties and expertise by empowering her L2 exposure during the classroom practices. Her ways of using L2 in oral practices could be characterized as the 'Inverse U-shape' pattern, under which she increased L2 exposure at the early stage of the study and shifted the intermediate language to L3 at the later stage of the study. When it comes to the language use in written practices, the sequence of "L2-L1-L3" use gradually changed to the "L2-L3" sequence over time, signifying the importance of interaction between L2 and L3. However, the use of her native language (L1) in a Korean-speaking classroom was limited to a certain aspect of literacy practices (i.e., vocabulary learning or translation). This study argues for L2 communication channel in cross-cultural classrooms as a key factor to determine sustainable learning growth.

• 비교문화연구
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• 제20권
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• pp.183-201
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• 2010

Based on case studies from Japan and South Korea, this review paper explores the hidden costs of English language learning (ELL). In a context where English has become a commodity and ELL a form of consumption, we focus on the personal and social costs of (a) studying abroad as a much-touted path to "native-like" proficiency and (b) sexualization of language teaching materials in order to reach new niche markets. The hidden costs of ELL are embedded in language ideologies which set English up as a magical means of self-transformation and, at the same time, an unattainable goal for most Japanese and Koreans. We end with the call to expose debilitating language ideologies in order to shed light on the hidden costs of ELL.

• 비교문화연구
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• 제20권
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• pp.29-66
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• 2010

This paper is a qualitative study of the experiences of Korean heritage language learners (KHLLs) with literacy (reading and writing), particularly before they enter the college-level heritage language classroom. Previous research, both qualitative and quantitative, has addressed the overall language background of KHLLs, including oral and aural proficiency and writing and reading ability, as well as demographic information (such as when the student immigrated to the United States) in relation to language test scores. This study addresses KHLL experiences in the following six areas as they relate to student perceptions and attitudes toward their own heritage language literacy: language proficiency, motivation for learning, academic preparedness, cultural connectedness, emotional factors, and social factors. Fourteen undergraduate students at a university in the western United States participated in a convenience sample by responding to a 10-question survey. Trends in responses indicated that KHLLs entered the classroom with high integrational motivation and experienced great satisfaction with perceived progress in literacy, but students also expressed regret for having missed childhood learning experiences that would likely have resulted in higher proficiency. These experiences include informal and formal instruction in the home and formal instruction outside of the home.

• 한국음향학회지
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• 제32권5호
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• pp.438-445
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• 2013

본 논문은 일본어 음성인식기 신규 개발을 위해 초기에 부족한 일본어 음성데이터를 보완하는 방법이다. 일본어 발음과 한국어 발음이 유사한 특성을 근거로 한국어 음성 데이터를 이용한 일본어 음향모델 성능개선 방법에 대하여 기술하였다. 이종언어 간 음성 데이터를 섞어서 훈련하는 방법인 Cross-Language Transfer, Cross-Language Adaptation, Data Pooling Approach등 방법을 설명하고, 각 방법들의 시뮬레이션을 통해 현재 보유하고 있는 일본어 음성데이터 양에 적절한 방법을 선정하였다. 기존의 방법들은 훈련용 음성데이터가 크게 부족한 환경에서의 효과는 검증되었으나, 목적 언어의 데이터가 어느 정도 확보된 상태에서는 성능 개선 효과가 미비하였다. 그러나 Data Pooling Approach의 훈련과정 중 Tyied-List를 목적 언어로만으로 구성 하였을 때, ERR(Error Reduction Rate)이 12.8 %로 성능이 향상됨을 확인하였다.

• 한국소프트웨어감정평가학회 논문지
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• 제14권2호
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• pp.35-44
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• 2018

서로 다른 언어로 작성된 소스코드의 유사성 검사는 주로 요약구문트리를 기반으로 비교를 수행한다. 하지만 대규모의 소스코드를 실용적인 수준으로 비교하려면 토큰수준 기반에서 작동하는 유사성 검사 기술이 필요하다. 본 연구에서는 서로 다른 언어에서 생성되었지만 같은 의미를 지닌 토큰을 표현할 수 있는 공통 토큰을 정의하고, 소스코드에서 언어별 처리 과정을 거쳐 생성한 공통 토큰의 나열을 입력으로 소스코드의 유사성 검사를 수행하는 방법을 제안한다. 한국저작권위원회의 표절검사 도구 exEyes를 사용해서 서로 다른 언어로 작성된 동일한 코드를 대상으로 실험한 결과, 제안한 방법을 사용했을 때, 유사성 평가 성능이 향상됨을 보였다.

• Journal of Information Processing Systems
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• 제18권4호
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• pp.535-548
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• 2022

Using a rich resource language to classify sentiments in a language with few resources is a popular subject of research in natural language processing. Burmese is a low-resource language. In light of the scarcity of labeled training data for sentiment classification in Burmese, in this study, we propose a method of transfer learning for sentiment analysis of a language that uses the feature transfer technique on sentiments in English. This method generates a cross-language word-embedding representation of Burmese vocabulary to map Burmese text to the semantic space of English text. A model to classify sentiments in English is then pre-trained using a convolutional neural network and an attention mechanism, where the network shares the model for sentiment analysis of English. The parameters of the network layer are used to learn the cross-language features of the sentiments, which are then transferred to the model to classify sentiments in Burmese. Finally, the model was tuned using the labeled Burmese data. The results of the experiments show that the proposed method can significantly improve the classification of sentiments in Burmese compared to a model trained using only a Burmese corpus.

• 한국융합학회논문지
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• 제13권3호
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• pp.77-89
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• 2022

대용량의 코퍼스로 학습한 사전학습 언어모델이 다양한 자연어처리 태스크에서 성능 향상에 도움을 주는 것은 많은 연구를 통해 증명되었다. 하지만 자원이 부족한 언어 환경에서 사전학습 언어모델 학습을 위한 대용량의 코퍼스를 구축하는데는 한계가 있다. 이러한 한계를 극복할 수 있는 Cross-lingual Post-Training (XPT) 방법론을 사용하여 비교적 자원이 부족한 한국어에서 해당 방법론의 효율성을 분석한다. XPT 방법론은 자원이 풍부한 영어의 사전학습 언어모델의 파라미터를 필요에 따라 선택적으로 재활용하여 사용하며 두 언어 사이의 관계를 학습하기 위해 적응계층을 사용한다. 이를 통해 관계추출 태스크에서 적은 양의 목표 언어 데이터셋만으로도 원시언어의 사전학습 모델보다 우수한 성능을 보이는 것을 확인한다. 더불어, 국내외 학계와 기업에서 공개한 한국어 사전학습 언어모델 및 한국어 multilingual 사전학습 모델에 대한 조사를 통해 각 모델의 특징을 분석한다