• Journal of Information Science Theory and Practice
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• v.8 no.4
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• pp.67-86
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• 2020

Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a query can be a poor representation of the information need because the user can find it difficult to express the information need. Query Expansion (QE) is being popularly used to address this limitation. While QE can be considered as a language-independent technique, recent findings have shown that in certain cases, language plays an important role. Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning and has high morphological complexity. This paper, therefore, provides a review on QE for Arabic information retrieval, the intention being to identify the recent state-of-the-art of this burgeoning area. In this review, we primarily discuss statistical QE approaches that include document analysis, search, browse log analyses, and web knowledge analyses, in addition to the semantic QE approaches, which use semantic knowledge structures to extract meaningful word relationships. Finally, our conclusion is that QE regarding the Arabic language is subjected to additional investigation and research due to the intricate nature of this language.

• ETRI Journal
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• v.44 no.5
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• pp.794-804
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• 2022

Transformer models have had a great impact on natural language processing (NLP) in recent years by realizing outstanding and efficient contextualized language models. Recent studies have used transformer-based language models for various NLP tasks, including Persian named entity recognition (NER). However, in complex tasks, for example, NER, it is difficult to determine which contextualized embedding will produce the best representation for the tasks. Considering the lack of comparative studies to investigate the use of different contextualized pretrained models with sequence modeling classifiers, we conducted a comparative study about using different classifiers and embedding models. In this paper, we use different transformer-based language models tuned with different classifiers, and we evaluate these models on the Persian NER task. We perform a comparative analysis to assess the impact of text representation and text classification methods on Persian NER performance. We train and evaluate the models on three different Persian NER datasets, that is, MoNa, Peyma, and Arman. Experimental results demonstrate that XLM-R with a linear layer and conditional random field (CRF) layer exhibited the best performance. This model achieved phrase-based F-measures of 70.04, 86.37, and 79.25 and word-based F scores of 78, 84.02, and 89.73 on the MoNa, Peyma, and Arman datasets, respectively. These results represent state-of-the-art performance on the Persian NER task.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.3
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• pp.7-30
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• 2023

Nigeria is a country with multiple ethnic groups; as a result, English language is used as a lingua franca to enhance information flow. Despite this, the Indigenous languages of communities are mostly used for interactions, even in university environments thereby affecting smooth interaction for those who do not understand them. This study therefore investigated the impact of being a linguistic outsider on information access, learning and social wellbeing of students. Descriptive research of a case study was used for this study. The population for this study consisted of non-Yoruba indigenous students. Judgmental sampling technique was used to select 50 non-indigenous students; structured interview was used. Results showed that Yoruba indigenous language was used lightly in the classroom and heavily outside the classroom, with mixtures of pidgin and English languages. It was found that being a linguistic outsider had a negative influence on information access. However it was not a total dependent factor to social wellbeing of students who desire for their various languages to be predominantly used and for them to enjoy equal benefits with Yoruba indigenes. This study also revealed that being a linguistic outsider does not have negative influence on academic learning. It was recommended that the stakeholders in university management promote the complete use of English language in the classroom while students should be encouraged to interpret Yoruba language when spoken in the midst of non-indigenes.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.545-555
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• 2015

We investigated the influence of negative emotion such as state-trait anxiety and depression and working memory (WM) on Foreign Language Vocabulary Learning (FLVL) of South Korean university students. Also, its implications for developing contents for FLVL were discerned. To do so, state-trait anxiety and depression inventories as well as four kinds of WM test were performed for 132 undergraduate students. Participants also had two semantic learning sessions for Swahili words. The mean scores of negative emotions were normal level. The results of structural equation modeling (SEM) showed that there was no effect of negative emotion on FLVL, while direct effects of the negative emotion on WM and the WM on FLVL were significant. Such results suggested that FLVL would be weakened, with the result that WM had been impaired by negative emotions. These outcomes suggested that when developing FLVL content for university students, it is necessary to consider the negative emotions of foreign language learners and to develop the contents for FLVL in the light of WM load.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.4
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• pp.449-456
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• 1999

본 논문은 C++에 분산 객체 프로그래밍 기능을 추가한 D++ 언어를 제안한다. 대등관계 복제객체 모델을 지원하는 D++는 분산 클래스의 정의, 멤버 함수의 일치성 제어 정의 기능, 그리고 영구 객체 이름에 기반한 분산 객체를 정의할 수 있는 언어 구조를 제공한다. D++ 프로그램에서 새로이 생성되는 분산 객체는 생성 시에 제공되는 객체의 영구 이름과 동일한 영구 이름을 갖는 분산 객체가 존재할 경우 해당 객체들과 복제 관계를 유지함으로써 정보를 공유한다. 각 복제 객체들은 서로 간에 대등한 관계를 가지며, 멤버 함수 정의 시에 기술되는 특성에 따라 일치성이 유지된다. 이 같은 D++의 분산 객체 모델은 실시간 그룹웨어의 기본 요구 사항인 분산 환경에서의 정보 공유 및 사건 공지 기능을 자연스럽게 해결해 주기 때문에 실시간 그룹웨어의 개발을 효율적으로 지원할 수 있을 것으로 기대한다. Abstract This paper proposes D++ programming language that is an extension of C++ for distributed object oriented programming. The D++, which supports peer-to-peer object model, provides new language constructs for the definition of distributed classes, the definition of the consistency control of the member function and the definition of distributed object variables with the persistent name. In D++, when the persistent name of a newly created distributed object is same as that of an existing distributed object, the new distributed object replicates object state of the existing distributed object and thus they share the object state. The replicas have peer relation and the consistency among them is maintained according to the characteristic described on the definition of designated member functions. It is expected that D++ language increases efficiency in development of real-time groupware because the distributed object model of D++ naturally supports the information sharing and event notification that are the basic functions required when building real-time groupware.

• Journal of English Language & Literature
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• v.55 no.4
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• pp.641-659
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• 2009

Since Plath killed herself in 1963, the theme of death has become one of the central motifs and allusions in her work. The biographical emphasis continues to blur the boundary between the artistic world and the material world. While approaching Plath's work from the perspective of personal experience, the objective of this paper is not to suggest that we encounter Plath's personal voice and emotions directly in her work. Rather, I emphasize how Plath's work of mourning is substantiated in the act of writing. Plath protects herself from the unnamable or the existential void by writing poems. She shows the way in which art or writing enables the subject to confront traumatic memory. While the death drive propels Plath towards destruction, artistic formation serves to alleviate her psychic crisis. What I shall suggest in the paper is how works of art lead the melancholic subject to challenge traumatic events. Plath herself suggests the therapeutic power of language. Plath's hostility toward women as well as men situates her work nearer to the Kristevan psychoanalytic theory which examines depressive anxieties intrinsically linked to the loss of maternal objects. Kristeva's particular focus on the concept of "death-bearing mother" or the unnamable offers a fruitful reading of the representation of infantile fantasies, sexuality, anger, and ambivalence toward lost loved object which clearly dominates most of Plath's poems. Kristeva elaborates mourning and melancholia through the framework of signification and it is of especial relevance in deciphering the recurring death drive and melancholic rage in Plath's work. Melancholic subjects in Plath's work are characterized by an amorphous state, occupying a borderline state regulated by the death drive.

• Journal of The Korean Association of Information Education
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• v.13 no.2
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• pp.205-214
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• 2009

The vocal language which is a symbolic vocal language described external sounds or expressed shape of things in nature, phenomenon, movement, shape of state provided images which can be envisioned in minds and created the mood for the whole writings. As the instructive ways of symbolic vocal language, the activities which refrain one-way translation for lexicon definition and stimulate the thoughts of students and interesting activities such as songs and comic books which students can understand by themselves are needed. Therefore, in this study, these symbolic vocal language is to be developed as the contents of robot for Symbolic Vocal language learning activities and after study activities, the possibility of using robot for education is to be reviewed, comparing changes in definitive areas and achievement after study activities. After the Symbolic Vocal language learning activities using robot and computer, as results of testing three achievement types of words simulated sound, shape, and movement, in study on words simulating sound and shape there was no significant difference. But The study activities simulating words used robot showed significant difference in terms of interest, confidence, and understanding.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.189-192
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• 2011

클라우드 컴퓨팅에서 사용되는 웹 서비스들은 BPEL에 의해 여러 서비스들이 새로운 웹 서비스로 조합 되어지며, 서비스가 제대로 동작하는지를 검증하기 위해 Petri nets, Abstract State Machine(ASM), BPECalculus 등의 검증 방법을 사용한다. 이러한 검증 방법은 BPEL을 사용하여 새로 만들어진 웹 서비스들이 안정적으로 동작하는지를 검증하는 것으로, 웹 서비스 설계와 검증이 서로 분리되어 있다. 본 논문에서는 명세, 분석 및 검증의 전 과정에서 프로세스의 포함관계, 상태정보, Interaction, Mobility 등을 그래프로 표현하며, 한 단계의 그래프를 통하여 시스템 전체의 복잡도 및 시스템의 행위를 예측할 수 있는 Onion Visual Language(OVL)을 사용하여 BPEL로 설계 되는 클라우드 웹 서비스들을 OVL로 변환 후 이를 분석 및 검증한다. 추후 OVL은 서로 다른 클라우드 안에서의 웹 서비스 재사용을 위한 동일성 검증을 위한 방법으로 사용될 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.105.2-105
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• 2001

This paper studies continuous Korean Sign Language (KSL) recognition using color vision. In recognizing gesture words such as sign language, it is a very difficult to segment a continuous sign into individual sign words since the patterns are very complicated and diverse. To solve this problem, we disassemble the KSL into 18 hand motion classes according to their patterns and represent the sign words as some combination of hand motions. Observing the speed and the change of speed of hand motion and using state automata, we reject unintentional gesture motions such as preparatory motion and meaningless movement between sign words. To recognize 18 hand motion classes we adopt Hidden Markov Model (HMM). Using these methods, we recognize 5 KSL sentences and obtain 94% recognition ratio.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.146-154
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• 2007

AutoCor is a method for the automatic acquisition and classification of corpora of documents in closely-related languages. It is an extension and enhancement of CorpusBuilder, a system that automatically builds specific minority language corpora from a closed corpus, since some Tagalog documents retrieved by CorpusBuilder are actually documents in other closely-related Philippine languages. AutoCor used the query generation method odds ratio, and introduced the concept of common word pruning to differentiate between documents of closely-related Philippine languages and Tagalog. The performance of the system using with and without pruning are compared, and common word pruning was found to improve the precision of the system.