• Title/Summary/Keyword: language data

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Minority Language Proficiency of Multicultural Adolescents: The Effects of Bicultural Acceptance Attitudes, Parents' Educational Support, and the Use of the Minority Language at Home (다문화 청소년의 소수언어 구사수준: 이중문화 수용태도, 부모의 교육적 지원, 부모-자녀 간 소수언어 사용도의 영향)

  • Kang, Li;Choi, Naya;Kang, Soyeon
    • Human Ecology Research
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    • v.59 no.4
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    • pp.543-556
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    • 2021
  • This study aimed to investigate the factors that influence multicultural adolescents' proficiency in their mother's native language, or their immigrant mother's native language. A hierarchical regression analysis was performed on data from the survey answered by 1,028 multicultural adolescents aged 15 years old and whose mothers were from foreign countries for the 6th Multicultural Adolescents Panel Study(MAPS) conducted by the National Youth Policy Institute (NYPI) in 2016. The main results are as follows. First, multicultural adolescents' minority language proficiency was generally low and significant differences were observed according to their gender, parents' educational level, household income, and mother's native country. More specifically, a higher proficiency in minority language was found for girls than boys, adolescents with a higher parental educational level, adolescents with a higher income, and adolescents whose mothers were from Japan or China, compared with those from the Philippines, Thailand, or Vietnam. Second, a significant positive correlation was observed between multicultural adolescents' minority language proficiency and 1) foreign culture acceptance, 2) parent's educational support, and 3) the use of the minority language at home. Third, foreign culture acceptance, parents' educational support, and the use of the minority language at home were predictors of multicultural adolescents' minority language proficiency. The study is meaningful in that it examined multicultural adolescents' minority language proficiency, elucidating their bilingual development, whereas previous studies have only focused on their proficiency in Korean, which is the majority language.

The Relationship among Child's Language Ability, Emotional Regulation and Peer Victimization: The Moderating and Mediating Role of Teacher-Child Conflict Relationship (유아의 언어능력, 정서조절이 또래괴롭힘 피해에 미치는 영향: 교사-유아 갈등 관계의 조절 및 매개 효과)

  • LEE, Won-Mi;KWON, Yeon-Hee
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.5
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    • pp.1252-1264
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    • 2015
  • This study examined the moderating and mediating effects of teacher-child conflict relationship among child's language ability, emotional regulation and peer victimization. The participants were 152 children(77 boys, 75 girls) and 14 preschool teachers. The teachers completed rating scales to measure the child's emotional regulation, peer victimization and teacher-child relationship. Child's language ability was assessed by researcher using PRES(Preschool Receptive-Expressive Language Scale). The collected data were analyzed using Pearson correlations and hierarchical multiple regressions. Results showed that peer victimization was related to child's language ability, emotional regulation and teacher-child relationship. Hierarchical aggression analysis indicated that the interaction of child's receptive language ability and teacher-child conflict relationship predicated peer victimization. Child's language ability, whose demonstrated a lower teacher-child conflict relationship, was significantly with peer victimization. In addition, the association between a child's emotional regulation and peer victimization was partially mediated by teacher-child conflict relationship.

An analysis of nonnative English teacher trainees' foreign language teaching anxiety in reflective microteaching course (반성적 마이크로티칭과 비원어민 예비 영어 교사의 외국어 교수 불안감)

  • Kim, Hyun-Jin
    • English Language & Literature Teaching
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    • v.15 no.4
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    • pp.265-290
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    • 2009
  • The present data-driven study attempted to explicate nonnative English teacher trainees' foreign language teaching anxiety in microteaching settings from their perspectives. It is assumed that nonnative English teachers or teacher trainees may experience anxiety not only as foreign language learners but also as foreign language teachers. In order to inquire into their anxiety, the researcher had 172 teacher trainees perform extended microteaching tasks and reflect on their teaching and anxiety through group discussion. Based on the analysis of their discussion, three aspects related to nonnative English teacher trainees' anxiety were identified. First, teacher trainees identified three main types of anxiety-provoking situations: communicative-competence-threatening situations, unexpected situations, and instruction-hindering situations. Second, they identified three sources of anxiety: limited ability to use English, lack of English teaching skills, and fear of criticism. Third, they were aware that they used diverse strategies to lower anxiety before and while teaching for different purposes. From their identification and awareness of anxiety-provoking situations, sources of anxiety, and anxiety-lowering strategies, they could reflect on professional qualifications as a foreign language teacher.

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Question Generation of Machine Reading Comprehension for Data Augmentation and Domain Adaptation (추가 데이터 및 도메인 적응을 위한 기계독해 질의 생성)

  • Lee, Hyeon-gu;Jang, Youngjin;Kim, Jintae;Wang, JiHyun;Shin, Donghoon;Kim, Harksoo
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.415-418
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    • 2019
  • 기계독해 모델에 새로운 도메인을 적용하기 위해서는 도메인에 맞는 데이터가 필요하다. 그러나 추가 데이터 구축은 많은 비용이 발생한다. 사람이 직접 구축한 데이터 없이 적용하기 위해서는 자동 추가 데이터 확보, 도메인 적응의 문제를 해결해야한다. 추가 데이터 확보의 경우 번역, 질의 생성의 방법으로 연구가 진행되었다. 그러나 도메인 적응을 위해서는 새로운 정답 유형에 대한 질의가 필요하며 이를 위해서는 정답 후보 추출, 추출된 정답 후보로 질의를 생성해야한다. 본 논문에서는 이러한 문제를 해결하기 위해 듀얼 포인터 네트워크 기반 정답 후보 추출 모델로 정답 후보를 추출하고, 포인터 제너레이터 기반 질의 생성 모델로 새로운 데이터를 생성하는 방법을 제안한다. 실험 결과 추가 데이터 확보의 경우 KorQuAD, 경제, 금융 도메인의 데이터에서 모두 성능 향상을 보였으며, 도메인 적응 실험에서도 새로운 도메인의 문맥만을 이용해 데이터를 생성했을 때 기존 도메인과 다른 도메인에서 모두 기계독해 성능 향상을 보였다.

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A Qualitative Study on Early Childhood Teachers' Experiences in Teaching Young Children with Language Development Delays (보육교사의 언어발달지체 유아 지원 경험에 관한 질적 연구)

  • Younwoo Lee;Sohee Kim
    • Korean Journal of Childcare and Education
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    • v.20 no.3
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    • pp.85-106
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    • 2024
  • Objective: The purpose of this study is to explore the experiences of early childhood teachers in teaching young children with language development delays. Methods: Eight early childhood teachers with experience teaching children with language development delays were interviewed. The collected data were analyzed through transcription, coding, and theme generation processes, resulting in three main themes and seven sub-themes. Results: First, early childhood teachers mentioned difficulties in communication due to language development delays, the need for communication support with peers, and a lack of support from families. Second, the guidance for young children with language development delays was provided by considering the characteristics of these children and through collaboration among various stakeholders. Third, early childhood teachers requested tailored training for teaching young children with language development delays. They also called for the establishment of a cooperative system among early childhood education institutions, families, and specialized agencies. Conclusion/Implications: Based on the research findings, a discussion was conducted on the support needed for guiding young children with language development delays, and suggestions were made for further research in this area.

uLAMP: Unified Linguistic Asset Management Platform for Natural Language Processing (uLAMP: 자연어 처리를 위한 자원 통합 관리 플랫폼)

  • Um, Jung-Ho;Shin, Sung-Ho;Choi, Sung-Pil;Jung, Hanmin
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.25-34
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    • 2012
  • Due to the development of wireless devices such as smart-phone and internet, a lot of linguistic resources actively are opened in each area of expertise. Also, various systems using semantic web technologies are developing for determining whether such information are useful or not. In order to build these systems, the processes of data collection and natural language processing are necessary. But, there is few systems to use of integrating software and data required those processes. In this paper, we propose the system, uLAMP, integrating software and data related to natural language processing. In terms of economics, the cost can be reduced by preventing duplicated implementation and data collection. On the other hand, data and software usability are increasing in terms of management aspects. In addition, for the evaluation of uLAMP usability and effectiveness, user survey was conducted. Through this evaluation, the advantages of the currentness of data and the ease of use are found.

A Convergence Study on the Relationship between Empathy Abilities and Job Satisfaction of Speech and Language Rehabilitation in Daegu and Gyeongbuk (대구·경북지역 언어재활사의 공감능력과 직무만족도 간의 관련성에 대한 융합 연구)

  • Kim, Sun-Hee
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.57-63
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    • 2021
  • The purpose of the convergence study is to provide basic data for improving job satisfaction of speech and language therapists by identifying the relationship between personal characteristics, empathy ability, and job satisfaction of speech and language therapists, especially between cognitive and emotional empathy ability and job satisfaction. The subjects of the study were 111 people of speech and language therapists working in Daegu and Gyeongbuk. For data analysis, t-test, ANOVA, and correlation analysis were performed using the SPSS/PC 21.0 statistical program according to the purpose of the study. As a result of the study, the relationship between empathy ability and job satisfaction was found to be high, and there was a high correlation between cognitive and emotional empathy ability, which is a sub-factor of empathy ability, and job satisfaction. Therefore, follow-up research is needed to identify the empathy and job satisfaction about nationwide speech and language therapists for implementing various education programs and improving empathy skills in the future.

Comparison of Sentiment Analysis from Large Twitter Datasets by Naïve Bayes and Natural Language Processing Methods

  • Back, Bong-Hyun;Ha, Il-Kyu
    • Journal of information and communication convergence engineering
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    • v.17 no.4
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    • pp.239-245
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    • 2019
  • Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.

Protein Ontology: Semantic Data Integration in Proteomics

  • Sidhu, Amandeep S.;Dillon, Tharam S.;Chang, Elizabeth;Sidhu, Baldev S.
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.388-391
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    • 2005
  • The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism.

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Design and Implementation of a Markup Language for Exchanging Telematics Data (텔레매틱스 데이터 교환을 위한 마크업 언어의 설계 및 구현)

  • Park, Sung-Eun;Jang, Eun-Sill;Lee, Yong-Kyu
    • The Journal of Society for e-Business Studies
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    • v.13 no.2
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    • pp.1-21
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    • 2008
  • Telematics services are being widely used recently. However, data sharing is restricted because data representations among telematics severs and terminals are not yet standardized. Moreover, changes of some data items can cause the modification of telematics software. To resolve the problem, we define an XML-based markup language, called tele-XML, for the standard representation of telematics data, and design a framework and related schema for the tele-XML. We also implement API libraries and program modules for the processing of tele-XML documents. By using the proposed representation and processing scheme, the previous problem can be resolved.

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