• Journal of information and communication convergence engineering
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• 제21권4호
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• pp.281-286
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• 2023

Diagnosing reading disorders involves complex procedures to evaluate complex cognitive processes. For an accurate diagnosis, a series of tests and evaluations by human experts are required. In this study, we propose a quantitative tool to diagnose reading disorders based on natural reading behaviors using minimal human input. The eye movements of the third- and fourth-grade students were recorded while they read a text at their own pace. Seven machine learning models were used to evaluate the gaze patterns of the words in the presented text and classify the students as normal or having a reading disorder. The accuracy of the machine learning-based diagnosis was measured using the diagnosis by human experts as the ground truth. The highest accuracy of 0.8 was achieved by the support vector machine and random forest classifiers. This result demonstrated that machine learning-based automated diagnosis could substitute for the traditional diagnosis of reading disorders and enable large-scale screening for students at an early age.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2002년도 11월 학술대회지
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• pp.191-194
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• 2002

Lip-reading technology that is studied them is used to compensate speech recognition degradation in noise environment in bi-modal's form. The most important thing is that search for correct lips area in this lip-reading. But, it is hard to forecast stable performance in dynamic environment. Used RASTA filter that show good performance to remove noise in the speech to compensate. This filter shows that improve performance of using time domain of digital filter. To this experiment observes performance of speech recognition only using image information, service chooses possible 22 words and did recognition experiment in car. We used hidden Markov model by speech recognition algorithm to compare this words' recognition performance.

• 디지털콘텐츠학회 논문지
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• 제12권3호
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• pp.371-382
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• 2011

인류가 고대로부터 물려받은 읽기/쓰기 행위는 인류의 의사소통 체계이자 지식정보 전달 체계로서 역사 속에서 끊임없이 변화하는 사회문화적 현상이다. 특히 디지털적 읽기/쓰기로 개개인의 일상사에 의미와 가치가 부여되는 시대, 그야말로 혁명적으로 일상적 담론과 대화들이 증폭된 지금 본 연구자는 이 시대의 '디지털적' 읽기/쓰기 방식과 이에 따른 의사소통 수단을 바흐친의 '일상생활의 산문'을 중심으로 점검하고, 그러한 현상이 새로운 유형의 콘텐츠로 재창조된다는 것을 이야기하고자 한다. 과거 읽기/쓰기는 '기록'의 과정을 통해 '서사의 창조'라는 지점에서 신성성을 부여받아왔다. 그러나 이는 현대로 오면서 데이터 간의 '하이퍼텍스트 링크'를 통해 변모하고 있다. 텍스트와 하이퍼텍스트를 통한 읽기와 쓰기는 선형적 서사성의 결여로 비난 받아야 할 현상이 아니라 사회문화적 변화의 한 과정이며 결과로 재평가되어야 한다. 읽기와 쓰기 방식의 변화는 콘텐츠의 층위, 지위, 의미, 가치의 변화를 수반할 수 밖에 없으며, 이에 '디지텔링'이라는 개념을 제안하여, 디지털 콘텐츠에서의 읽기/쓰기 방식을 새로운 대중문화 현상으로 접근해야 함을 주장하는 바이다.

• 가정과삶의질연구
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• 제25권3호
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• pp.151-168
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• 2007

The purpose of this study was to investigate the causal relationship of kindergarteners' alphabet knowledge to their ability to read words, in connection with the features of the Korean alphabet 'Hangul'. A total of 289 children aged four to six from three kindergartens in Busan participated in the study. The main results are as follows. To begin with, the participants showed continuous development in the knowledge of consonant names, vowel sounds, the vowel stroke-adding principle, and the alphabet composition principle. Meanwhile, discontinuous development was found in the knowledge of consonant sounds and the consonant stroke-adding principle, which indicated that kindergartners could show differential speed in various sub-skills of literacy development. The kindergartners' naming of consonants developed before their recall of consonant sounds, and the knowledge of consonant sounds had an effect on the knowledge of vowel sounds. Children had difficulty in treating more complicated letters of the alphabet stroke-adding principle test, and eve syllables of the alphabet composition principle test. Most importantly, the children's alphabet knowledge was strongly related to their ability to read words written in Hangul, as kindergarteners with a greater knowledge of alphabet names, sounds, and principles were shown to read words better.

• 대한음성학회지:말소리
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• 제46호
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• pp.13-24
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• 2003

This experimental study shows that, in reading of the English isolated words that are enumerated, the releasing of the word-final stop is employed for signaling enumeration in company with the well-known intonational pattern for it. Furthermore, this study tries to find the aspects of the releasing of the stops in the word-final positions, focusing on the association of the stop releasing/nonreleasing with i) the POA (Place of Articulation) distinction of the word-final stop, ii) the various qualities of the vowel before the final stop, and iii) the voice distinction of the stop in the word-final position.

• 한국어교육
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• 제29권4호
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• pp.201-223
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• 2018

The purpose of this study is to observe the effects of text modification by comparing differences in Korean reading comprehension levels that arise from differences in vocabulary levels in texts. This study intends to use simplified texts with the vocabulary difficulty adjusted differently from the original text to measure reading comprehension levels of Korean learners and analyze the result. To measure reading comprehension, the researcher divided 55 Korean learners of intermediate to advanced level of fluency into two groups; the control group read the original text and the treatment group read a simplified text in which complex vocabulary were substituted with easier words of medium difficulty. Then the two groups were tested with the same questionnaire to measure comprehension levels of each group. The result showed that the groups that read simplified texts scored higher than the control group; this suggests that the reading comprehension level was increased in the treatment group. The experiment confirmed that unknown vocabulary density has direct impact on Korean reading comprehension. The result shows that the proportion of unknown vocabulary should be reduced for meaning-focused reading. It also demonstrates that comprehension of the learner was enhanced with lexical simplification rather than structural simplification i.e. simplification of grammar or sentences. Thus, diverse reading materials adjusted to the learners' level of fluency should be developed to enable reading for learning Korean. By reducing the burden of understanding the meaning of each vocabulary, learners will be able to achieve the initial goal of reading.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.773-777
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• 2009

In recent years, the field of synthesizing voice has been developed rapidly, and the technologies such as reading aloud an email or sound guidance of a car navigation system are used in various scenes of our life. The sound quality is monotonous like reading news. It is preferable for a text such as a novel to be read by the voice that expresses emotions wealthily. Therefore, we have been trying to develop a system reading aloud novels automatically that are expressed clear emotions comparatively such as juvenile literature. At first it is necessary to identify emotions expressed in a sentence in texts in order to make a computer read texts with an emotionally expressive voice. A method on the basis of the meaning interpretation that utilized artificial intelligence technology for a method to specify emotions of texts is thought, but it is very difficult with the current technology. Therefore, we propose a method to determine only emotion every sentence in a novel by a simpler way. This method determines the emotion of a sentence according to an emotion that words such as a verb in a Japanese verb sentence, and an adjective and an adverb in a adjective sentence, have. The emotional characteristics that these words have are prepared beforehand as a emotional words dictionary by us. The emotions used here are seven types: "joy," "sorrow," "anger," "surprise," "terror," "aversion" or "neutral."

• 한국도서관정보학회지
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• 제52권4호
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• pp.205-228
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• 2021

본 연구는 도서관 이용자에게 맞춤형 도서를 추천하기 위한 기초 데이터 수집의 한 방편으로 '독서감상 표현을 위한 체크리스트'를 개발하였다. 감상은 이해가 선행되는 작업이므로, 읽기이해력 관련 논문을 분석하여 읽기이해의 하위 요소를 범주화하고, 독자반응이론과 리터러시 교육을 실제 독서교육 현장에 적용한 논문들에서 독서 후 질문 구성에 참조가 되는 단어와 구문을 추출하여 문장의 형태로 문항을 구성하였다. 개발된 문항들은 독서지도 전문가들의 검토를 거쳐 수정, 보완되었으며, 사실·추론적 이해 관련 문항 4개, 평가적 이해 관련 문항 3개, 감상적 이해 관련 문항 7개, 총 14개의 문항으로 구성된 체크리스트가 최종 완성되었다.

• 영어영문학
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• 제60권2호
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• pp.391-393
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• 2014

• 한국콘텐츠학회논문지
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• 제20권10호
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• pp.679-687
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• 2020

본 연구의 목적은 BNC 어휘목록과 2015 교육부 기본 어휘를 중심으로 EBS 연계교재와 대학 수능시험의 어휘를 분석하고자 한다. 어휘점유율과 빈도를 분석하기 위해서 AntWordProfiler 어휘 분석프로그램이 사용되었다. 결과를 보면, 2020 EBS 수능 영어 듣기와 읽기 연계 교재는 각각 BNC 3,000 단어와 4,000 단어를 가지고 약 95%를 이해할 수 있다는 것을 보여준다. 그러나 EBS 듣기와 읽기 교재의 98%의 단어를 이해하기 위해서는 각각 4,000과 8,000 단어가 필요하다는 것을 알 수 있다. 다른 한편으로 2020 수능영어시험 듣기와 읽기의 95%를 이해하기위해서는 각각 2,000과 4,000 단어가 요구되며, 98%의 경우에는 추가적으로 4,000과 7,000의 단어가 필요하다. 결과적으로 EBS 연계교재가 대입수능영어시험보다 더 많은 어휘의 양을 요구한다는 것을 알 수 있다.