• Title/Summary/Keyword: language, aim

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Aimé Césaire's postcolonial thought as a 'Non-Western resistance discourse': In terms of speaker, language and counter-discourse ('비서구 저항담론'으로서의 세제르(A. Césaire)의 탈식민주의 비평, 그 가능성과 한계: 화자(話者), 언어(言語), 대항담론(對抗談論)의 측면에서)

  • Choi, Il-Sung
    • Cross-Cultural Studies
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    • v.51
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    • pp.161-191
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    • 2018
  • In the beginning of the 20th century, post-colonialism has directly raised questions about western-centered universalism. One of its main achievements is that the political liberation of a colonial society does not guarantee the social, economic and cultural liberation of a society. Therefore, the discourse of liberation in the Western society, in particular, Marxism, nationalism, feminism and postmodernism, cannot be directly applied to the non-Western society. As a result, Western and non-Western societies are unfortunately dreaming of different futures and liberation; therefore, a'geopolitical dialogue' is needed between them. However, the theorists' efforts for postcolonial liberation failed to distinguish themselves from the western-centric traditions. It is also true that they have, in conjunction with these traditions, established their own power. As we know, many of the postcolonial criticisms somehow had relations with the West. This study will re-read the postcolonial thought of $Aim{\acute{e}}$ $C{\acute{e}}saire$, the father of the so-called $N{\acute{e}}gritude$, as a 'non-western resistance discourse'. Through this process, we have a chance to reflect on $C{\acute{e}}saire$ and his postcolonial thoughts.

The Usefulness of Multiple-Choice Name Matching Test in Aphasic Patients (실어증 환자에서 선다형 이름 맞추기 검사의 유용성)

  • Min, Yong;Ko, Myoung-Hwan;Seo, Jeong-Hwan
    • Phonetics and Speech Sciences
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    • v.4 no.3
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    • pp.137-142
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    • 2012
  • The aim of this study is to investigate the usefulness of the multiple-choice name matching test (MC-NMT) in adults with aphasia by comparing the Korean version of the Boston Naming Test (K-BNT) and subsets of the Korean version of the Western Aphasia Battery (K-WAB). Thirty-nine patients who suffer from aphasia participated in the study. All patients were examined by the K-BNT, MC-NMT and K-WAB. The MC-NMT consisted of the 30 original BNT object stimuli which were presented with four response choices (written words) with similar frequency, including one correct and three incorrect responses. Cards containing the drawings were presented to the patient one at time. An item was passed if the patient chose the correct response within 10 seconds. We subdivided two groups into a total group and a low K-BNT group (at and below 15 points). We evaluated the correlation between the K-BNT, MC-NMT score and production, naming, repetition, comprehension, reading and writing scores in subsets of the K-WAB. There was a highly positive correlation between the K-BNT score and naming score of the K-WAB in total patients. However, the MC-NMT was highly correlated with reading scores in the K-WAB. In low score K-BNT patients, the K-BNT strongly correlated with production, naming and repetition scores of the K-WAB. These findings mean that K-BNT reflects motor language function. However, the MC-NMT was strong correlated comprehension, reading and writing of the K-WAB. This finding reflects sensory language function. We suggest that the combination of K-BNT and newly developed MC-NMT will be useful to evaluate speech functions in aphasic patients.

Comparing String Similarity Algorithms for Recognizing Task Names Found in Construction Documents (문자열 유사도 알고리즘을 이용한 공종명 인식의 자연어처리 연구 - 공종명 문자열 유사도 알고리즘의 비교 -)

  • Jeong, Sangwon;Jeong, Kichang
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.6
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    • pp.125-134
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    • 2020
  • Natural language encountered in construction documents largely deviates from those that are recommended by the authorities. Such practice that is lacking in coherence will discourage integrated research with automation, and it will hurt the productivity in the industry for the long run. This research aims to compare multiple string similarity (string matching) algorithms to compare each algorithm's performance in recognizing the same task name written in multiple different ways. We also aim to start a debate on how prevalent the aforementioned deviation is. Finally, we composed a small dataset that associates construction task names found in practice with the corresponding task names that are less cluttered w.r.t their formatting. We expect that this dataset can be used to validate future natural language processing approaches.

A Study on the Effect of Collaborative Instruction Between a Teacher Librarian and a Korean Language Teacher on a Middle School Student's Learning Interest and Academic Achievement (사서교사와 국어교사의 협동수업이 중학생의 학습흥미와 학업성취도에 미치는 영향에 대한 연구)

  • Ki, Min-Jin;Song, Gi-Ho
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.2
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    • pp.123-142
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    • 2013
  • The aim of this study is to find out the impact of collaborative instruction between the teacher librarian and the classroom teacher on learning interest and academic achievement by running Library and Information Life, which is the textbook of information literacy for teacher librarians and the Korean language curriculum for the first grade of middle school through library-based instruction. The result of this study has a positive influence on academic achievement by facilitating learning interest on Korean language classes under coplanning, co-operating and coevaluating in the school library. Therefore, it is important to establish the institutional system for collaborative instruction in order to increase information literacy instruction in the school community. A local school should expand the physical environment and educational equipment of its school library and form a flexible schedule to have enough time for teaching information literacy skills and for using of materials.

The Later Wittgenstein' Philosophy and Mathematics Learning (후기 비트겐슈타인 철학과 수학 학습)

  • Cho, Jin Woo;Lee, Kyeong-Hwa
    • Journal of Educational Research in Mathematics
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    • v.25 no.1
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    • pp.59-74
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    • 2015
  • It is an increasing research area to explore mathematics learning from discursive perspectives. However, there have been little studies conducted on why and how discursive perspectives in mathematics learning were adopted and developed. Especially, not much discussion has been done on the later Wittgenstein's philosophical stance in terms of the relationship between language and thought as a background of discursive approach to learning mathematics. This study aims to explore the later Wittgenstein on language to get better understanding about discursive approaches to mathematics learning. For the attainment of this aim, first the later philosophy is compared with the former philosophy in depth. Then the later philosophy is discussed focusing on how his point of view on the world and the language have been changed. After providing an account of his later philosophy, it is clarified that what is discursive approaches to learning mathematics and how this philosophy brace the approaches. This research concludes with implications and limitations, as well as suggestions for future researches.

Enhancing Recommender Systems by Fusing Diverse Information Sources through Data Transformation and Feature Selection

  • Thi-Linh Ho;Anh-Cuong Le;Dinh-Hong Vu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.5
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    • pp.1413-1432
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    • 2023
  • Recommender systems aim to recommend items to users by taking into account their probable interests. This study focuses on creating a model that utilizes multiple sources of information about users and items by employing a multimodality approach. The study addresses the task of how to gather information from different sources (modalities) and transform them into a uniform format, resulting in a multi-modal feature description for users and items. This work also aims to transform and represent the features extracted from different modalities so that the information is in a compatible format for integration and contains important, useful information for the prediction model. To achieve this goal, we propose a novel multi-modal recommendation model, which involves extracting latent features of users and items from a utility matrix using matrix factorization techniques. Various transformation techniques are utilized to extract features from other sources of information such as user reviews, item descriptions, and item categories. We also proposed the use of Principal Component Analysis (PCA) and Feature Selection techniques to reduce the data dimension and extract important features as well as remove noisy features to increase the accuracy of the model. We conducted several different experimental models based on different subsets of modalities on the MovieLens and Amazon sub-category datasets. According to the experimental results, the proposed model significantly enhances the accuracy of recommendations when compared to SVD, which is acknowledged as one of the most effective models for recommender systems. Specifically, the proposed model reduces the RMSE by a range of 4.8% to 21.43% and increases the Precision by a range of 2.07% to 26.49% for the Amazon datasets. Similarly, for the MovieLens dataset, the proposed model reduces the RMSE by 45.61% and increases the Precision by 14.06%. Additionally, the experimental results on both datasets demonstrate that combining information from multiple modalities in the proposed model leads to superior outcomes compared to relying on a single type of information.

A Network Packet Analysis Method to Discover Malicious Activities

  • Kwon, Taewoong;Myung, Joonwoo;Lee, Jun;Kim, Kyu-il;Song, Jungsuk
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.143-153
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    • 2022
  • With the development of networks and the increase in the number of network devices, the number of cyber attacks targeting them is also increasing. Since these cyber-attacks aim to steal important information and destroy systems, it is necessary to minimize social and economic damage through early detection and rapid response. Many studies using machine learning (ML) and artificial intelligence (AI) have been conducted, among which payload learning is one of the most intuitive and effective methods to detect malicious behavior. In this study, we propose a preprocessing method to maximize the performance of the model when learning the payload in term units. The proposed method constructs a high-quality learning data set by eliminating unnecessary noise (stopwords) and preserving important features in consideration of the machine language and natural language characteristics of the packet payload. Our method consists of three steps: Preserving significant special characters, Generating a stopword list, and Class label refinement. By processing packets of various and complex structures based on these three processes, it is possible to make high-quality training data that can be helpful to build high-performance ML/AI models for security monitoring. We prove the effectiveness of the proposed method by comparing the performance of the AI model to which the proposed method is applied and not. Forthermore, by evaluating the performance of the AI model applied proposed method in the real-world Security Operating Center (SOC) environment with live network traffic, we demonstrate the applicability of the our method to the real environment.

Linguistic Description and Theory

  • Nakajima, Heizo
    • Korean Journal of English Language and Linguistics
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    • v.1 no.3
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    • pp.349-368
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    • 2001
  • We have brought up several distinct types of English clausal constructions, and have been lead to the descriptive generalization in (14),repeated here as (33): (33) Reduced clauses cannot occur in non-complement positions. The generalization in (33) refers to two theory-internal notions, reduced clauses and non-complement positions. Both notions are concerned with the composition of syntactic structures to be defined by X-bar theory. Without these theoretical notions, it would be difficult to describe in a general form the fact that certain types of complement clauses-namely, null-that clauses, if-clauses, Acc-ing gerund, ECM complement clauses, and Raising complement clauses-cannot occur in particular syntactic positions. Instead, one would have to describe this fact for each clause type, in such a way that null-that clauses cannot occur in such and such positions, and if-clauses cannot occur in such and such positions, and Acc-ing gerund cannot occur in such and such positions, and so on, although the positions in which they cannot occur are totally the same. Given the terminology of X-bar theory, however, it has turned out that these types of complement clauses are all reduced clauses, and the positions where they cannot occur are all non-complement positions. Then, the generalization has obtained that reduced clauses cannot occur in non-complement positions. It is a theoretical issue, and differs depending upon theories, how to explain why such a descriptive generalization holds at all. Hopefully, the demonstration here provides a piece of evidence showing that a theory or a particular theoretical nation plays an important role in the description of linguistic facts. Moreover, I have made a crucial prediction on the basis of the well-accepted theoretical assumption the ECM complement clauses and Raising complement clauses are reduced clauses; namely, the prediction that these types of clauses cannot occur in non-complement position. The prediction based upon the theoretical assumption is actually borne out, as illustrated earlier. The illustration of the prediction, I hope, shows that a theory or a particular theoretical assumption, coupled with another theoretical assumption, allows us to make some interesting predictions. Predictions serve to widen a range of linguistic facts to be described. A theory plays a crucial part in finding out interesting facts as well as in describing them in some general forms. Finally, let me state a few words as to the recent generative theory in connection with linguistic description. The recent generative theory is getting more and more abstract. I think it is moving toward a good direction as cognitive science. It will contribute, among others, to the inquiry into what is knowledge that is very specific to language faculty, and into how it interacts with other cognitive faculties. However, I am suspicious about how much the abstract generative theory will contribute to the description of linguistic facts in a particular language. While generative theory is claimed to aim both for descriptive adequacy and for explanatory adequacy, the recent generative theory is likely to put much more weight on explanatory adequacy. In my view, a less abstract theory is enough, or even more useful, for the purpose of linguistic description. Of course, how abstract theory one should adopt as a framework differs depending upon what aspect of language one attempts to describe. What I would like to emphasize here is that linguistic theory does not conflicts with linguistic description, and a linguistic theory with an appropriate degree of abstractness serves as a tool for finding out new interesting facts, as well as for describing them in some general, elegant forms.

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Comparative analysis of the digital circuit designing ability of ChatGPT (ChatGPT을 활용한 디지털회로 설계 능력에 대한 비교 분석)

  • Kihun Nam
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.967-971
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    • 2023
  • Recently, a variety of AI-based platform services are available, and one of them is ChatGPT that processes a large quantity of data in the natural language and generates an answer after self-learning. ChatGPT can perform various tasks including software programming in the IT sector. Particularly, it may help generate a simple program and correct errors using C Language, which is a major programming language. Accordingly, it is expected that ChatGPT is capable of effectively using Verilog HDL, which is a hardware language created in C Language. Verilog HDL synthesis, however, is to generate imperative sentences in a logical circuit form and thus it needs to be verified whether the products are executed properly. In this paper, we aim to select small-scale logical circuits for ease of experimentation and to verify the results of circuits generated by ChatGPT and human-designed circuits. As to experimental environments, Xilinx ISE 14.7 was used for module modeling, and the xc3s1000 FPGA chip was used for module embodiment. Comparative analysis was performed on the use area and processing time of FPGA to compare the performance of ChatGPT products and Verilog HDL products.

Needs analysis and class design for online tourism English instruction (사이버대학 관광영어 강좌의 학습자 요구분석과 수업설계)

  • Kim, Hyun-Sook;Park, Eun-Young
    • English Language & Literature Teaching
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    • v.17 no.2
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    • pp.115-137
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    • 2011
  • The tourism industry has attained remarkable growth, and the need for professional Tourism English education has increased. Universities of online education can offer an environment for education to both job applicants and laymen who are interested in Tourism English. Tourism English belongs to English for Specific Purposes, which reflects the needs of specific area. The aim of this study is to propose improvements in classes design for online Tourism English instruction. The results of a needs analysis conducted on 160 Korean online university students suggest that online Tourism English class should be different from a traditional classroom-based one in regards to aims, contents, and methods. Online Tourism English class should not only focus on English for specific purposes, but also include more generalized topics. This comes as a result of the diverse backgrounds of online students. The results suggest that extralinguistic elements, such as culture and etiquette differences among English-speaking countries, become more interesting when introduced using pictures, videos, animations, etc. Additionally, SMS or emails can be utilized to raise students' motivation for online Tourism English class.

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