• 비교문화연구
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• 제27권
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• pp.347-386
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• 2012

This article aims to establish the model of textual communication and its schema. To do this, we must identify the characteristics of textual communication, different from that of the oral, because the model of communication is usually done to show the structure of oral communication. Moreover, we must clarify the status text as '${\acute{e}}nonc{\acute{e}}$', that is to say product of the act of enunciation. The study of the text has now reached to achieve from the perspective of pragmatics, overcoming the structural point of view that dominates long text linguistics. And now, we need to enrich the theoretical basis of the pragmatics of text. Then the search of elements necessary to develop the model and pattern of textual communication can help to establish the elements used to form the theoretical basis. To clarify the characteristics of textual communication, we needed to explain the present communication by the position of reader and the point of view of textual reference. The schema that we proposed is not perfect, but there are still issues to think to complete it. For example, one must take into account the plurality of readers and reflect the relationship between interpretive texts in this schema, etc. This kind of problem is not only required to complete the schema but also to strengthen the basis of the theory of textual communication and the pragmatics of text.

• 한국정보시스템학회지:정보시스템연구
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• 제26권4호
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• pp.327-353
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• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• 인문언어
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• 제5권
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• pp.127-163
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• 2003

This thesis analyzes the Chapter "Hoyeonjigi(浩然之氣)" of Mencius(孟子), using text linguistics theory and reading theory of Korean. In this process the model of macro-structure #1∼5 are presented, according to Vandijk′s rules of macro-structure; Auslassen, Selektierne, Generalisieren, Konstruieren odor Integrieren. As a result, this certifies; First, macro-structure could make arbitrarily a several steps of macro-structure by types of text or purpose of analysis. Second, macro-structure applies various cognitive mechanisms of outer world as well as inner world. Third, a text with profound symbolism could be figured as a two-or threefolded symbolic structure. At the same time, macro-structure enables the clearer analysis of the content of the Chapter to verify the following; first, Hoyeinjigi itself is the best measure of developing "Imperturbable Mind(不動心)" Second, benevolence-righteousness(仁義) and wisdom(智) would be reached by cultivating Hoyeonjigi. Third, Mencius′ own view of language is well expressed in "Jieon(知言)", which is not only a condition for Imperturbable Mind, but also the Oriental view of language focused especially on listening in terms of language usage, not language analysis. This Mencius′ view of language has a thread connection with that of Oriental′s.

• 음성과학
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• 제9권1호
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• pp.149-171
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• 2002

After establishing the rules for the phonetic transcription in French, quantitative analysis on the given text, Waiting for Godot, is performed. Analyzing the text by investigating the influence of phoneme distribution is very interesting in the phonostylistic point of view. Since the phonetic transcription rules are useful for its automation, the rules are carefully established in this paper. From the results of the phonetic transcription, we can investigate the distribution of individual phonemes and the different phoneme groups between dialogues and scenery indications for various characters.

• 한국언어정보학회지:언어와정보
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• 제6권2호
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• pp.105-128
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• 2002

Morphologically annotated corpora are the basis for many tasks of computational linguistics. Most current approaches use statistically driven methods of morphological analysis, that provide just POS-tags. While this is sufficient for some applications, a rule-based full morphological analysis also yielding lemmatization and segmentation is needed for many others. This work thus aims at 〔1〕 introducing a rule-based Korean morphological analyzer called Kormoran based on the principle of linearity that prohibits any combination of left-to-right or right-to-left analysis or backtracking and then at 〔2〕 showing how it on be used as a POS-tagger by adopting an ordinary technique of preprocessing and also by filtering out irrelevant morpho-syntactic information in analyzed feature structures. It is shown that, besides providing a basis for subsequent syntactic or semantic processing, full morphological analyzers like Kormoran have the greater power of resolving ambiguities than simple POS-taggers. The focus of our present analysis is on Korean text.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.500-519
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• 2019

The blooming of social media has simulated interest in sentiment analysis. Sentiment analysis aims to determine from a specific piece of content the overall attitude of its author in relation to a specific item, product, brand, or service. In sentiment analysis, the focus is on the subjective sentences. Hence, in order to discover and extract the subjective information from a given text, researchers have applied various methods in computational linguistics, natural language processing, and text analysis. The aim of this paper is to provide an in-depth up-to-date study of the sentiment analysis algorithms in order to familiarize with other works done in the subject. The paper focuses on the main tasks and applications of sentiment analysis. State-of-the-art algorithms, methodologies and techniques have been categorized and summarized to facilitate future research in this field.

• Acta Via Serica
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• 제5권1호
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• pp.87-120
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• 2020

This article introduces the texts of Manchu shamanistic prayers recorded in a manuscript by Sergei A. Polevoi, a Russian and an American Sinologist from the first part of the twentieth century. The Manchu original text of these prayers (but not the Polevoi's variant) was recently published by Ye (2018), which, however lacks detailed linguistic analysis. Polevoi's texts are in the slightly outdated romanization of Manchu with no linguistic analysis, translation, and commentary that are provided below by the author. While this publication will be of minor interest to the specialists on Manchu shamanism, it would be important to linguists specializing in the Manchu and Tungusic languages and philology, as the text reflects in all probability the eighteenth century Manchu preserved in romanization, and, therefore priceless for the linguistic analysis.

• 한국과학교육학회지
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• 제27권3호
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• pp.242-252
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• 2007

이 연구는 교수요목기부터 7차 교육과정까지의 모든 과학(자연) 교과서에서 공통적으로 제시되는 '기압'과 '바람'을 다루는 텍스트를 체계기능언어학적으로 분석하였다. 연구 결과는 다음과 같다. 관념적 메타기능 측면에서 과학적 정보를 많이 담고 있는 텍스트는 교육과정 개정에 따라 줄어든 것으로 나타났다. 대부분의 정보의 형태는 '원리'보다는 '정의'와 '사실'이었다. 상호적 메타기능 측면에서 학생과 텍스트 사이의 거리는 점점 줄어들었으며, 학생들의 사회적 지위는 교육과정 개정에 따라 점차적으로 고려되었다. 구성적 메타기능 측면에서 전문적 용어와 기호의 비율은 감소 추세에 있었으나, 과학 교과서에서 텍스트양 또한 줄어든 것으로 나타났다. 초기에는 문장에 주어가 제시되었으나, 시간이 흐르면서 주어가 생략되었다. 또한 주어와 문장 첫 구의 일치율은 7차의 교과서 텍스트에서 그 일치도가 현저히 줄어든 것으로 나타났다.

• 한국영어학회지:영어학
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• 제1권2호
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• pp.227-242
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• 2001

It is noted that although the current state of development of web-based English education (hereafter referred to as WBEE) might not meet the criteria some educators have set for themselves in the field, students certainly seem to prefer studying in a web-based and computer-assisted learning environment. This kind of demand is fueling the drive to develop more suitable variations of WBEE. In order for WBEE to work out, a teacher should be a multifunctional type of instructor handling responsibilities such as the role of scriptwriter to create text, act as technician for the sound mixing and recording, preside over online chat rooms and discussion boards, and finally, as webmaster to maintain the site and supervise all academic/ clerical work related to the course. Therefore, it is suggested that WBEE be accompanied by a small personnel to divide the labor and lessen the burden on the actual teacher. Finally, it is noted that the traditional relationship between students and teacher may no longer be sustainable since WBEE does not provide the face-to-face style of class discussion and office hours in its current form. Until the technology is fully developed to compensate for these kinds of differences, it is an immediate challenge to provide other more compelling reasons for students to participate in WBEE.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.223-231
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• 2022

The application of computer software into the linguistic analysis of texts proves useful to arrive at concise and authentic results from large data texts. Based on this assumption, this paper employs a Computer-Aided Text Analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the manipulative strategies of positive/negative presentation in Orwell's Animal Farm. More specifically, the paper attempts to explore the extent to which CATA software represented by the three variables of Frequency Distribution Analysis (FDA), Content Analysis (CA), and Key Word in Context (KWIC) incorporate with CDA decipher the manipulative purposes beyond positive presentation of selfness and negative presentation of otherness in the selected corpus. The analysis covers some CDA strategies, including justification, false statistics, and competency, for positive self-presentation; and accusation, criticism, and the use of ambiguous words for negative other-presentation. With the application of CATA, some words will be analyzed by showing their frequency distribution analysis as well as their contextual environment in the selected text to expose the extent to which they are employed as strategies of positive/negative presentation in the text under investigation. Findings show that CATA software contributes significantly to the linguistic analysis of large data texts. The paper recommends the use and application of the different CATA software in the stylistic and corpus linguistics studies.