• Title/Summary/Keyword: science language

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Linguistics in Postmodern Science Fiction: Delany's Babel 17 and Stephenson's Snow Crash

  • Kim, Il-Gu
    • English Language & Literature Teaching
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    • v.12 no.2
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    • pp.41-59
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    • 2006
  • As the late partner to science fiction, various experimental languages such as animal language, telepathic language, newly invented language, alien language often appear as "unexpected and frightened situations" in SF. Like generative semanticists, some SF writers daringly delve into the sacred mystery of semantics in language whereas others avoid the dream of a universal language by holding themselves to manageable data. Samuel Delany's description of the ideal telepathic universal language in Babel 17 shows us humans' dream to be like God by showing to us the new process of communication in the factual interplanetary environment. Similar to the mystery of alien language in SF, the baby's babbling reveals how language is both simple and complicated. Children's language shows us the changing process of a soul revealed by language use and it is no wonder that many languages of AIs in SF often borrow their source from children's language acquisition processes. In short, science fiction as the repository of tropes illuminates other literary language studies and other literary genres. Especially in terms of the futuristic study of linguistics, the relationship between science fiction and linguistics is much closer than we thought.

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Analysis of Elementary Students' Interlanguage in Science Class about Heat and Temperature (열과 온도 수업에서 나타난 초등학생들의 중간 언어 분석)

  • Lee, Ilyeon;Jang, Shinho
    • Journal of Korean Elementary Science Education
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    • v.34 no.1
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    • pp.123-130
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    • 2015
  • For effective science learning, teachers need to rearrange scientific language so that students can understand the contents with their incomplete language resources. Interlanguage is the interplay between everyday language and scientific language. The purpose of the study was to analyze the patterns of interlanguage during 4th grade science class to learn "Heat and Temperature" and to find the features of meaning sharing inside classroom in which a teacher and students participated. The data analysis shows that elementary students' interlanguage has different features compared to scientific language that involves passive voice and content-specialized nouns. Students' interlanguage implied the quality of class community's knowledge-sharing, according to the degree of how students can connect scientific language and everyday language in more effective ways. The implication to elementary science education was discussed.

Language Modeling Approaches to Information Retrieval

  • Banerjee, Protima;Han, Hyo-Il
    • Journal of Computing Science and Engineering
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    • v.3 no.3
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    • pp.143-164
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    • 2009
  • This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal is to model that process via a generative statistical model. In this article, we discuss current research in the application of language modeling to information retrieval, the role of semantics in the language modeling framework, cluster-based language models, use of language modeling for XML retrieval and future trends.

Linguistic characterization of sign language expressions for an automatic conversion from natural language sentences (자연언어 문장의 자동 변환을 위한 수화 표현의 언어학적 특성 분석)

  • Choi Ji-Won;Chang Eun-Young;Lee Hee-Jin;Park Jong-C.
    • Language and Information
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    • v.10 no.1
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    • pp.71-91
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    • 2006
  • The linguistic characteristics of a sign language provide an important clue for an automatic construction of its expression from a given natural language sentence. For such characterization, we focus on the identification of elided constituents, the mapping of property-changing information into spatio-temporal dimension, and the need for rearranging the order of component information for enhanced quality of delivery. We use our characterization to implement a system that converts sentences in Korean into corresponding expressions in the Korean Sign Language.

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S&T Policy Trend Using Language Network Analysis: Focusing on Science and Technology Basic Plan

  • Kim, Yun Jong;Jeong, Dae-hyun;Oh, Hyunchul
    • Asian Journal of Innovation and Policy
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    • v.6 no.2
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    • pp.111-137
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    • 2017
  • This study analyzes a language network of Science and Technology Basic Plan, which is the basis for science and technology policy in Korea, for the next Science and Technology Basic Plan. Language network analysis was adopted for a quantitative approach measuring the trend of policies. Several techniques such as keyword analysis, language network map analysis, quantitative characteristics analysis and keyword-related major-word analysis have been performed. Results show that there are common policies emphasized by all Science and Technology Basic Plans in the past, and there are also specific policies emphasized in each period of the Science and Technology Basic Plan. These specific policies come from a 'change of times' when the Science and Technology Basic Plans were established, as well as the philosophy of the national government.

Language- Independent Sentence Boundary Detection with Automatic Feature Selection

  • Lee, Do-Gil
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1297-1304
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    • 2008
  • This paper proposes a machine learning approach for language-independent sentence boundary detection. The proposed method requires no heuristic rules and language-specific features, such as part-of-speech information, a list of abbreviations or proper names. With only the language-independent features, we perform experiments on not only an inflectional language but also an agglutinative language, having fairly different characteristics (in this paper, English and Korean, respectively). In addition, we obtain good performances in both languages. We have also experimented with the methods under a wide range of experimental conditions, especially for the selection of useful features.

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A Personalized English vocabulary learnin g system based on cognitive abilities relat ed to foreign language proficiency

  • Kwon, Dai-Young;Lim, Heui-Seok;Lee, Won-Gyu;Kim, Hyeon-Cheol;Jung, Soon-Young;Suh, Tae-Weon;Nam, Ki-Chun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.4
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    • pp.595-617
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    • 2010
  • This paper proposes a novel of a personalized Computer Assisted Language Learning (CALL) system based on learner's cognitive abilities related to foreign language proficiency. In this CALL system, a strategy of retrieval learning, a method of learning memory cycle, and a method of repeated learning are applied for effective vocabulary memorization. The system is designed to offer personalized learning based on cognitive abilities related to the human language process. For this, the proposed CALL system has a cognitive diagnosis module which can measure five types of cognitive abilities. The results of this diagnosis are used to create dynamic learning scenarios for personalized learning and to evaluate user performance in the learning. This system is also designed in order to have users be able to create learning word lists and to share them simply with various functions based on open APIs. Additionally, through experiments, it has shown that this system helps students to learn English vocabulary effectively and enhances their foreign language skills.

A comparative study on the language of food related to rice and wheat in East Asia (동아시아의 쌀과 밀 관련 식품의 언어 비교)

  • Han, Sungwoo
    • Food Science and Industry
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    • v.50 no.2
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    • pp.74-85
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    • 2017
  • This paper aims to compare the language of food related to rice and wheat in Korean, Chinese and Japanese. These three countries in East Asia are very close in terms of geography, history, and culture. As of language, Korean and Japanese are classified as a same language family, while Chinese, to another. However, since three countries have been sharing Chinese character and words composed of it, there are many alike things in their languages. It is natural that food and the language of food are shared in neighboring areas. Among many food, I will explain the names of rice and wheat and the details of the names of various food made of them. In particular, rather than a simple comparison, the language of food is analyzed in the viewpoint of migration. And I will look into the names of food not only in relation to language, but also in culture, society and history.

Elementary Students' Academic Ability in Science and Cognitive Language Ability According to Gender, and their Correlation (성별에 따른 초등학생의 과학 학력과 인지적 언어 능력 및 그 상관)

  • Yeo Sang-Ihn;Kim Hee Jeong
    • Journal of Korean Elementary Science Education
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    • v.24 no.1
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    • pp.51-58
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    • 2005
  • The purpose of this study was to investigate the elementary students' academic ability in science and cognitive language ability according to gender, and their correlation. To this study, above two tests were conducted to 600 elementary students, and 496 students of them were analyzed. The test of academic ability in science was classified for lower students (1$\~$3 grades) and upper students (4$\~$6 grades), which consisted of scientific knowledge, process skill, and inquiry context. The reliability (Cronbach $\alpha$) of each test showed 0.7581 in lower students and 0.7831 in upper students. Also the reliability of cognitive language ability test was 0.7788. The results of this study were as follows: First, there were no significant differences in academic ability in science according to gender except 3rd grade. Second, there were significant differences in cognitive language ability according to gender. Third, in the correlation between academic ability in science and cognitive language ability, it showed low coefficient in lower students and high coefficient in upper students.

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