• Title/Summary/Keyword: word context

Search Result 356, Processing Time 0.026 seconds

New Interpretation on Intensification (된소리 현상의 새 분석)

  • Lee Mi-Jae
    • MALSORI
    • /
    • no.25_26
    • /
    • pp.27-37
    • /
    • 1993
  • This paper deals with the nature and function of intensification in Korean in a wider scope of context which was not paid proper attention. Unobserved new areas of intensification are paid more attention like sound split of polysemy e.g. [s'eda], [kyongk'i] by n of intensification and north Korean application of intensification on [wonsu] and intensification of borrowed English. The recent phenomenon of 'gwua' intensification is experimented on two groups of people, young students and old people beyond 65 years old by means of sociolinguistic analysis. The result shows that its intensification is a form of student violent power and a mark of extreme solidarity among activist students. In conclusion, the nature of so called saisiot[t] e.g. intensification is voiceless tensed pause and its functions are the polarization of the original meaning of the word, sound split of polysemy and attachment of social values by intensification.

  • PDF

The Effect of the Length of Relationship and Commitment in the Context of Mobile Telecommunication Industry (관계기간과 몰입의 역할에 관한 연구 : 이동통신산업을 중심으로)

  • Bang, Joung-Hae;Seol, Jin-Young;Kim, Min-Sun;Lee, Eun-Hyung
    • The Journal of Information Systems
    • /
    • v.21 no.1
    • /
    • pp.47-68
    • /
    • 2012
  • The purpose of this study is to investigate two components of commitment(affective commitment and calculative commitment) and relational equity on loyalty. In addition, The authors analyzed the moderating effect of length of relationship on the effects of commitments and relational equity on switching intention. Major findings can be summarized as follows. It was found that affective commitment made a negative impact on switching intentions and a positive impact on w-o-m. Calculative commitment had no effect on switching intention and w-o-m while it made a negative effect on w-o-m in handset side only. Relational equity appears to bolster a negative effect on switching intention and a positive effect on w-o-m. Also length of relationship seems to moderate the effect of relational equity on switching intention.

Variations in the perception of lexical pitch accents and the correlations with individuals' autistic traits

  • Lee, Hyunjung
    • Phonetics and Speech Sciences
    • /
    • v.9 no.2
    • /
    • pp.53-59
    • /
    • 2017
  • The present study examined if individual listeners' perceptual variations were associated with their cognitive characteristics indexed by the Autistic Spectrum Quotient (AQ). This study first investigated the perception of the lexical pitch accent contrast in the Kyungsang Korean currently undergoing a sound change, and then tested if listeners' perceptual variations were correlated with their AQ scores. Eighteen Kyungsang listeners in their 20s participated in the perception experiment where they identified two contrastive accent words for auditory stimuli systematically varying F0 scaling and timing properties; the participants then completed the AQ questionnaire. In the results, the acoustic parameters reporting reduced phonetic differences across accent contrasts for younger Kyungsang generation played a reliable role in perceiving the HH word from HL, suggesting the discrepancy between the perception and the production in the context of sound change. This study also observed that individuals' perceptual variations were negatively correlated with their AQ sub scores. The present findings suggested that the sound change might appear differently between production and perception with a different time course, and deviant percepts could be explained by individuals' cognitive measure.

Free Play Activities in the Curricula of Childcare Centers and Teachers' Perceptions of Play (보육과정에서의 자유놀이 현황과 교사의 놀이인식)

  • Rim, Hyo-Shin;Rha, Jong-Hay
    • Journal of the Korean Home Economics Association
    • /
    • v.49 no.2
    • /
    • pp.27-36
    • /
    • 2011
  • This study dealt with free play activities in the curricula of childcare centers in Daejeon area. 29 teachers from 21 day care centers were interviewed individually to obtain an understanding of teachers perceptions and conflicting views about play activity in the context of different day care curricula. The data were analysed qualitatively, using categorization and key word classification, frequency analyses and chi-squared tests. The results were as follows: (1) play-oriented curricula included sufficient play time and planned play activities in terms of the children's development. Children's freedom in play, optimum intercession by teachers, and interrelating activities between activity areas were included. In mixed curricula, children's freedoms were limited in many cases, and interrelating play between activity areas was hardly found. Formal lesson-oriented curricula resulted unplanned play activities and teachers' passive intercession of play. (2) Most teachers believed that play activities were more important to a child's development than formal lessons.

Fake News Detection Using Deep Learning

  • Lee, Dong-Ho;Kim, Yu-Ri;Kim, Hyeong-Jun;Park, Seung-Myun;Yang, Yu-Jun
    • Journal of Information Processing Systems
    • /
    • v.15 no.5
    • /
    • pp.1119-1130
    • /
    • 2019
  • With the wide spread of Social Network Services (SNS), fake news-which is a way of disguising false information as legitimate media-has become a big social issue. This paper proposes a deep learning architecture for detecting fake news that is written in Korean. Previous works proposed appropriate fake news detection models for English, but Korean has two issues that cannot apply existing models: Korean can be expressed in shorter sentences than English even with the same meaning; therefore, it is difficult to operate a deep neural network because of the feature scarcity for deep learning. Difficulty in semantic analysis due to morpheme ambiguity. We worked to resolve these issues by implementing a system using various convolutional neural network-based deep learning architectures and "Fasttext" which is a word-embedding model learned by syllable unit. After training and testing its implementation, we could achieve meaningful accuracy for classification of the body and context discrepancies, but the accuracy was low for classification of the headline and body discrepancies.

Anti-Melanogenic Effect from Submerged Mycelial Cultures of Ganoderma weberianum

  • Lai, Ying-Jang;Hsu, Kai-Di;Huang, Tzu-Jung;Hsieh, Chang-Wei;Chan, Yu-Hin;Cheng, Kuan-Chen
    • Mycobiology
    • /
    • v.47 no.1
    • /
    • pp.112-119
    • /
    • 2019
  • Compounds from Lingzhi has been demonstrated the ability for inhibiting tyrosinase (a key enzyme in melanogenesis) activity. In this study, we investigated the anti-melanogenic activity from the submerged mycelial culture of Ganoderma weberianum and elucidated the skin lightening mechanism by B16-F10 murine melanoma cells. From the cellular context, several fractionated mycelium samples exhibited anti-melanogenic activity by reducing more than 40% extracellular melanin content of B16-F10 melanoma cells. In particular, the fractionated chloroform extract (CF-F3) inhibited both secreted and intracellular melanin with the lowest dosage (25 ppm). Further analysis demonstrated that CF-F3 inhibited cellular tyrosinase activity without altering its protein expression. Taken together, our study has demonstrated that the chemical extracts from submerged mycelial culture of G. weberianum have the potential to serve as an alternative anti-melanogenic agent.

Examining China's Internet Policies through a Bibliometric Approach

  • Li, Jiang;Xu, Weiai Wayne;Wang, Fang;Chen, Si;Sun, Jianjun
    • Journal of Contemporary Eastern Asia
    • /
    • v.17 no.2
    • /
    • pp.237-253
    • /
    • 2018
  • In order to understand China's internet governance, this paper examined 1,931 Internet policies of China by bibliometric techniques. Specifically, the bibliometric techniques include simple document counting, co-word analysis, collaboration network analysis and citation analysis. The findings include: (1) China's Internet legislations mainly emphasized e-commerce and Internet governance, and, to some extent, neglected personal data protection; (2) China's Internet is under intensive multiple regulatory controls by central government. A large number of government agencies are involved in Internet policy-making. The Propaganda Department of the Central Committee of the Communist Party of China and the State Information Leading Group of the State Council, enforced fewer policy documents, but occupy higher positions in the Internet governance hierarchy; (3) China's Internet legislation system is primarily composed of industry-specific administrative rules, rather than laws or administrative regulations. Nevertheless, laws and administrative regulations received significantly more citations owing to their superior force. This paper also discussed current gaps in China's internet governance and how the country's internet policies are situated in the broader global context.

Comparison of Efficiency of Flash Memory Device Structure in Electro-Thermal Erasing Configuration (플래시메모리소자의 구조에 대한 열적 데이터 삭제 효율성 비교)

  • Kim, You-Jeong;Lee, Seung-Eun;Lee, Khwang-Sun;Park, Jun-Young
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.35 no.5
    • /
    • pp.452-458
    • /
    • 2022
  • The electro-thermal erasing (ETE) configuration utilizes Joule heating intentionally generated at word-line (WL). The elevated temperature by heat physically removes stored electrons permanently within a very short time. Though the ETE configuration is a promising next generation NAND flash memory candidate, a consideration of power efficiency and erasing speed with respect to device structure and its scaling has not yet been demonstrated. In this context, based on 3-dimensional (3-D) thermal simulations, this paper discusses the impact of device structure and scaling on ETE efficiency. The results are used to produce guidelines for ETEs that will have lower power consumption and faster speed.

Text Classification on Social Network Platforms Based on Deep Learning Models

  • YA, Chen;Tan, Juan;Hoekyung, Jung
    • Journal of information and communication convergence engineering
    • /
    • v.21 no.1
    • /
    • pp.9-16
    • /
    • 2023
  • The natural language on social network platforms has a certain front-to-back dependency in structure, and the direct conversion of Chinese text into a vector makes the dimensionality very high, thereby resulting in the low accuracy of existing text classification methods. To this end, this study establishes a deep learning model that combines a big data ultra-deep convolutional neural network (UDCNN) and long short-term memory network (LSTM). The deep structure of UDCNN is used to extract the features of text vector classification. The LSTM stores historical information to extract the context dependency of long texts, and word embedding is introduced to convert the text into low-dimensional vectors. Experiments are conducted on the social network platforms Sogou corpus and the University HowNet Chinese corpus. The research results show that compared with CNN + rand, LSTM, and other models, the neural network deep learning hybrid model can effectively improve the accuracy of text classification.

A Study on the Identification and Classification of Relation Between Biotechnology Terms Using Semantic Parse Tree Kernel (시맨틱 구문 트리 커널을 이용한 생명공학 분야 전문용어간 관계 식별 및 분류 연구)

  • Choi, Sung-Pil;Jeong, Chang-Hoo;Chun, Hong-Woo;Cho, Hyun-Yang
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.45 no.2
    • /
    • pp.251-275
    • /
    • 2011
  • In this paper, we propose a novel kernel called a semantic parse tree kernel that extends the parse tree kernel previously studied to extract protein-protein interactions(PPIs) and shown prominent results. Among the drawbacks of the existing parse tree kernel is that it could degenerate the overall performance of PPI extraction because the kernel function may produce lower kernel values of two sentences than the actual analogy between them due to the simple comparison mechanisms handling only the superficial aspects of the constituting words. The new kernel can compute the lexical semantic similarity as well as the syntactic analogy between two parse trees of target sentences. In order to calculate the lexical semantic similarity, it incorporates context-based word sense disambiguation producing synsets in WordNet as its outputs, which, in turn, can be transformed into more general ones. In experiments, we introduced two new parameters: tree kernel decay factors, and degrees of abstracting lexical concepts which can accelerate the optimization of PPI extraction performance in addition to the conventional SVM's regularization factor. Through these multi-strategic experiments, we confirmed the pivotal role of the newly applied parameters. Additionally, the experimental results showed that semantic parse tree kernel is superior to the conventional kernels especially in the PPI classification tasks.