• 한국컴퓨터정보학회논문지
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• 제18권10호
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• pp.173-182
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• 2013

전자 문서의 초안 작성과정에서 추가되는 철자오류는 다른 유형의 오류보다 압도적으로 높은 비율을 차지한다. 입력 실수로 인한 이들 오류는 결과적으로 여전히 철자오류일 수도 있지만 상당수는 구문오류나 의미오류로 발전한다. 이러한 오류들 중 철자오류에서 발전된 가의미 오류는 순수 의미오류에 비해 문장 내에서 주변 단어의 의미에 대해 두드러진 상이성을 갖게된다. 따라서 이러한 의미 오류는 그것이 가지는 두드러진 문맥 상이성으로 인해 간단한 동시발생 빈도에 기초한 알고리즘으로 검출 및 교정이 가능하다. 본 논문에서는 이러한 오류들을 검출하고 교정하기 위한 동시발생 빈도에 기초한 알고리즘을 제안한다. 제안하는 방법에서 동시발생 빈도는 의존 구조상에서 직접 의존관계에 놓인 단어만을 대상으로 계산하며, 가의미 오류 여부를 판단하기 위해서 코사인 유사도 측정 방법을 사용한다. 제시하는 실험으로부터 제안한 방법은 전체 맞춤법 검사기 검출율을 약 2~3% 수준까지 향상 시킬 수 있을 것으로 예측하였다.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.71-76
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• 2022

The purpose of this research is to investigate the types of semantic errors made by MT in translating EFL college students' original drafts written in Korean into English. Specifically, this study attempts to find out 1) what types of semantic errors are most frequently committed by MT? and 2) how students feel about the quality of the MT-produced output? The findings from this study indicated that MT produced the errors related to accuracy (47%) the most, followed by the errors related to fluency and ambiguity (14.6% respectively). Students were well aware of the errors with accuracy and fluency but had limited ability to check the errors with ambiguity. Based on the findings, this study suggests pedagogical implications which can be implemented in L2 writing classrooms.

• 한국IT서비스학회지
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• 제10권3호
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• pp.189-201
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• 2011

Feature models are widely used to model commonalities and variabilities among products during software product line development. Feature configurations are generated by selecting the features to be included in individual products. Automated tools to identify errors or inconsistencies in the feature models and configurations are essential to successful software product line engineering. This paper proposes a verification technique and tool based on semantic web technologies such as OWL, SWRL and Protege API. This approach checks the feature model and configuration based on predefined rules and provides information on existence of errors as well as the kinds of those errors. This approach is extensible due to ease of rule modification and may be easily applied to other environments because semantic web technologies can be easily integrated with other programming environments. This paper demonstrates how various semantic web-related technologies can support automatic verification of one kind of software development artifact, the feature model.

• Journal of Computing Science and Engineering
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• 제2권1호
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• pp.1-25
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• 2008

Spoken dialog tasks incur many errors including speech recognition errors, understanding errors, and even dialog management errors. These errors create a big gap between the user's intention and the system's understanding, which eventually results in a misinterpretation. To fill in the gap, people in human-to-human dialogs try to clarify the major causes of the misunderstanding to selectively correct them. This paper presents a method of clarification techniques to human-to-machine spoken dialog systems. We viewed the clarification dialog as a two-step problem-Belief confirmation and Clarification strategy establishment. To confirm the belief, we organized the clarification process into three systematic phases. In the belief confirmation phase, we consider the overall dialog system's processes including speech recognition, language understanding and semantic slot and value pairs for clarification dialog management. A clarification expert is developed for establishing clarification dialog strategy. In addition, we proposed a new design of plugging clarification dialog module in a given expert based dialog system. The experiment results demonstrate that the error verifiers effectively catch the word and utterance-level semantic errors and the clarification experts actually increase the dialog success rate and the dialog efficiency.

• 한국언어정보학회지:언어와정보
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• 제14권1호
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• pp.165-196
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• 2010

The primary goal of this paper is to propose methods of enriching two heterogeneous ontologies: Sejong Semantic Classes (SJSC) and KorLexNoun 1.5 (KLN). In order to achieve this goal, this study introduces the pros and cons of two ontologies, and analyzes the error patterns found during the fine-grained manual mapping processes between them. Error patterns can be classified into four types: (1) structural defectives involved in node branching, (2) errors in assigning the semantic classes, (3) deficiency in providing linguistic information, and (4) lack of the lexical units representing specific concepts. According to these error patterns, we propose different solutions in order to correct the node branching defectives and the semantic class assignment, to complement the deficiency of linguistic information, and to increase the number of lexical units suitably allotted to their corresponding concepts. Using the results of this study, we can obtain more enriched ontologies by correcting the defects and errors in each ontology, which will lead to the enhancement of practicality for syntactic and semantic analysis.

• 한국엔터테인먼트산업학회논문지
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• 제14권8호
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• pp.213-219
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• 2020

본 연구는 치매의심군 8명, 치매확정군 9명 및 정상군 10명을 대상으로 명명하기 과제에서 오류 유형의 특성을 탐색하는 데 그 목적이 있다. 명명하기의 오류 분석 항목은 시지각적 오류, 의미적 연관 오류, 의미적 비연관 오류, 음소적 오류, 모름, 무반응으로 구분하여 분석하였다. 분석을 위해 SPSS 21.0을 활용하여, 기술통계분석, 분산분석, 다변량분산분석을 실시하였다. 연구결과, 오류유형에 따라 집단 간 오류율에는 유의한 차이는 있는 것으로 나타났다. 정상군이 다른 두 집단과 유의한 차이를 보인 오류는 시지각 오류와 의미적 비연관 오류이며, 무응답 오류는 치매확정군과는 차이가 있었으나, 치매의심군과는 유의한 차이가 없는 것으로 나타났다. 이러한 연구 결과, 알츠하이머성 치매 환자들이 그림 명명하기 능력에 결함이 있음을 확인하였다. 또한 정보처리과정 중 특정 단계의 퇴행으로 인한 결함이 심해지면 다른 단서를 제공하는 것이 적절하다는 것을 알 수 있었다.

• 대한인간공학회지
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• 제23권4호
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• pp.9-21
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• 2004

As menu structure of household appliance is complicated, user's cognitive workload frequently occurs errors. In existing studies, errors didn't present that interpretation for cognitive factors and alternatives, but are only considered as statistical frequency. Therefore, error classification and analysis in tasks is inevitable in usability evaluation. This study classified human error throughout information process model and navigation behavior. Human error is defined as incorrect decision and behavior reducing performance. And navigation is defined as unrelated behavior with target item searching. We searched and analyzed human errors and its causes as a case study, using mobile phone which could control appliances in near future. In this study, semantic problems in menu structure were elicited by SAT. Scenarios were constructed by those. Error analysis tests were performed twice to search and analyze errors. In 1st prototype test, we searched errors occurred in process of each scenario. Menu structure was revised to be based on results of error analysis. Henceforth, 2nd Prototype test was performed to compare with 1st. Error analysis method could detect not only mistakes, problems occurred by semantic structure, but also slips by physical structure. These results can be applied to analyze cognitive causes of human errors and to solve their problems in menu structure of electronic products.

• 한국IT서비스학회지
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• 제7권3호
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• pp.271-286
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• 2008

The core of the semantic web is ontology, which supports interoperability among semantic web applications and enables developer to reuse and share domain knowledge. It used a variety of fields such as Information Retrieval, E-commerce, Software Engineering, Artificial Intelligence and Bio-informatics. However, the reality is that various errors might be included in conceptual hierarchy when developing ontologies. Therefore, methodologies and supporting tools are essential to help the developer construct suitable ontologies for the given purposes and to detect and analyze errors in order to verify the inconsistency in the ontologies. In this paper we propose a new approach for ontology error detection based on the Concept Lattices of Formal Concept Analysis. By using the tool that we developed in this research, we can extract core elements from the source code of Ontology and then detect some structural errors based on the concept lattices. The results of this research can be helpful for ontology engineers to support error detection and construction of "well-defined" and "good" ontologies.

• 한국콘텐츠학회논문지
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• 제19권6호
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• pp.504-512
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• 2019

본 연구는 국내외 도시 지역 영어간판의 언어적 오류를 살펴보고, 이를 비교해 봄으로써 공동체의 언어 사회 문화적 양상을 고찰해 보는 것을 목적으로 한다. 자료 수집으로 국내 5개 도시와 프랑스 파리 지역의 영어 간판을 촬영하였다. 분석 결과, 국내 영어간판의 39.2%가 오류를 포함한 반면 파리 시내 영어간판의 오류 비율은 24.7%였다. 국내에서는 명동 지역이 영어간판은 물론 오류도 가장 많은 반면, 파리에서는 에펠탑을 중심으로 한 7구역에서 영어간판이 가장 많았고, 오류는 마레지역 3, 4구역이 가장 높았다. 업종과 관련, 국내에서는 주류, 음식, 의류 순으로 간판 오류가 많은 반면, 프랑스에서는 의류, 음식, 문화 순으로 오류 비율이 높아 두 나라간 차이를 보였다. 국내와 프랑스 공히 의미, 형태, 통사 요소의 순으로 오류를 보였다. 국내나 프랑스 모두 옥외광고물 언어에 관한 규정이 존재하고 있으나 제대로 지켜지고 않고 있었다. 따라서 영어간판 사용이 필요 불가결한 글로벌 시대에서 조화로운 영어간판 문화의 정착을 위해선 보다 실제적이고 합리적인 정책 수립이 필요하다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.389-394
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• 1996

The product-user interface for consumer electronic products became complex due to the increased variety of functions corresponding to consumer needs. In this study, three types fo design improvement of the menu interface for a video cassette recorder is studied. Three modifications to an existing menu interface was designed using the semantic, the syntactic and the lexical design factors. A series of the validation experiments was performed to test the effect of the three types of task modifications. The results showed that performance time, number of errors and learning effect were improved for all task modification. It also showed that the performance improvement effect of the semantic factors was 8.8%, that of the syntactic factors was 5.9% and that of the lexical factors was 5.6% respectively. It was found out that the performance improvement effect of the semantic design factors were relatively more significant than the syntactic and the lexical design factors.