• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.1
• /
• pp.477-486
• /
• 2020

This study was undertaken to analyze the correlation between depression and memory, by considering the occurrence of ApoE ɛ4 and clinical dementia rating in the elderly with Alzheimer's dementia. This study included 50 participants over 65 years of age, evaluated with CDR 0.5 to 2. We performed CDR, SVLT-E, RCFT, SGDS-K, and ApoE genotyping. Spearman's correlation analysis was used for determining the correlation between depression and memory. The results indicate a significant negative correlation between depression and immediate recall verbal memory in the CDR 1 and 2 without ApoE ɛ4 carrier group (p<0.05). Furthermore, a significant negative correlation was also determined between depression and delayed recall verbal memory in the CDR 1 of the same group. Ed. Notes: The previous sentence already shows this correlation. I suggest this should be deleted from this statement. However, no significant correlation was observed between depression and visual memory. This study found a significant correlation between depression and immediate recall verbal memory. Also, the presence of ApoE ɛ4 indicates a significant correlation between depression and delayed verbal recall memory. Taken together, our results indicate that verbal memory training rather than visual memory training can be more effective in early AD. Also, the treatment of depression will provide a complementary effect.

• KIPS Transactions on Software and Data Engineering
• /
• v.3 no.6
• /
• pp.219-230
• /
• 2014

An analysis of dependency relation is a job that determines the governor and the dependent between words in sentence. The dependency relation of predicate is established by patterns and selectional restriction of subcategorization of the predicate. This paper proposes a method of analysis of Korean dependency relation using homograph predicate disambiguated in morphology analysis phase. The disambiguated homograph predicates has each different pattern. Especially reusing a stage transition training dictionary used during tagging POS and homograph, we propose a method of fixing the dependency relation of {noun+postposition, predicate}, and we analyze the accuracy and an effect of homograph for analysis of dependency relation. We used the Sejong Phrase Structured Corpus for experiment. We transformed the phrase structured corpus to dependency relation structure and tagged homograph. From the experiment, the accuracy of dependency relation by disambiguating homograph is 80.38%, the accuracy is increased by 0.42% compared with one of undisambiguated homograph. The Z-values in statistical hypothesis testing with significance level 1% is ${\mid}Z{\mid}=4.63{\geq}z_{0.01}=2.33$. So we can conclude that the homograph affects on analysis of dependency relation, and the stage transition training dictionary used in tagging POS and homograph affects 7.14% on the accuracy of dependency relation.

• The Journal of the Korea Contents Association
• /
• v.15 no.6
• /
• pp.179-190
• /
• 2015

The current movie world is called the era of faction hot-wind by the continuous hits of faction films. The interpretation of the missing 15 days in the Annals of the Joseon Dynasty during Gwang-hae's reign based on one sentence in the record makes 'faction' that there was another king, drives audiences to absorption and imagination in the faction film < Gwang-hae: The Man Who Became King >. Furthermore, this film redefined historical king Gwang-hae as an ambivalent image through Gwang-hae and Ha-sun who filled the role as the king in it. Also, this film was appraised by reviews of reinterpretation of the image of leader who people want and hit success when the film released before the season of the presidential election. This thesis considers 'Faction' which is marked as a new image content and analyzes the film < Gwang-hae: The Man Who Became King > which is listed as Korea's all-time sixth highest grossing film with 12,323,555 tickets sold nationwide by three sections; < Gwang-hae: The Man Who Became King > as faction film, two images of Gwang-hae, and the appropriateness of film release time. In conclusion, the film < Gwang-hae: The Man Who Became King >. succeeded since it communicated with people to satisfy their wishes and taste. It would be necessary to study and analyze the basic connection between the trend of movies and Strategic elements of the box-office results, and a significant stride for progression of the movies.

• The Korean Journal of Applied Statistics
• /
• v.33 no.3
• /
• pp.321-334
• /
• 2020

The US Federal Reserve (Fed) has decided to cut interest rates. When we look at the expression of the FOMC statements at the time of policy change period we can understand that Fed has been communicating with markets through a change of word selection. However, there is a criticism that the method of analyzing the expression of the decision sentence through the context can be subjective and limited in qualitative analysis. In this paper, we evaluate the signaling effect of FOMC statements based on previous research. We analyze decision making characteristics from the viewpoint of text mining and try to predict future policy trend changes by capturing changes in expressions between statements. For this purpose, a decision tree and neural network models are used. As a result of the analysis, it can be judged that the discrepancy indicators between statements could be used to predict the policy change in the future and that the US Federal Reserve has systematically implemented policy signaling through the policy statements.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
• /
• v.26 no.2
• /
• pp.117-121
• /
• 2015

Background : Cepstral analysis which is obtained from Fourier transformation of spectrum has been known to be effective indicator to analyze the voice disorder. To evaluate the voice disorder, phonation of sustained vowel /a/ sound or continuous speech have been used but the former was limited to capture hoarseness properly. This study is aimed to compare the effectiveness in analysis of cepstrum between the sustained vowel /a/ sound and continuous speech. Methods : From March 2012 to December 2014, total 72 patients was enrolled in this study, including 24 unilateral vocal cord palsy, vocal nodule and vocal polyp patients, respectively. The entire patient evaluated their voice quality by VHI (Voice Handicap Index) before and after treatment. Phonation of sustained vowel /a/ sample and continuous speech using the first sentence of autumn paragraph was subjected by cepstral analysis and compare the pre-treatment group and post-treatment group. Results : The measured values of pre and post treatment in CPP-a (cepstral peak prominence in /a/ vowel sound) was 13.80, 13.91 in vocal cord palsy, 16.62, 17.99 in vocal cord nodule, 14.19, 18.50 in vocal cord polyp respectively. Values of CPP-s (cepstral peak prominence in text-based speech) in pre and post treatment was 11.11, 12.09 in vocal cord palsy, 12.11, 14.09 in vocal cord nodule, 12.63, 14.17 in vocal cord polyp. All 72 patients showed subjective improvement in VHI after treatment. CPP-a showed statistical improvement only in vocal polyp group, but CPP-s showed statistical improvement in all three groups (p<0.05). Conclusion : In analysis of cepstrum, text-based analysis is more representative in voice disorder than vowel sound speech. So when the acoustic analysis of voice by cepstrum, both phonation of sustained vowel /a/ sound and text based speech should be performed to obtain more accurate result.

• Phonetics and Speech Sciences
• /
• v.12 no.2
• /
• pp.39-49
• /
• 2020

The prosody of children with autism spectrum disorders (ASD) has several abnormal features, including monotonous speech. The purpose of this study was to compare acoustic features between an ASD group and a typically developing (TD) group and within the ASD group. The study also examined audience perceptions of the lengthening effect of increasing the number of syllables. 50 participants were divided into two groups (20 with ASD and 30 TD), and they were asked to imitate a total of 28 sentences. In the auditory-perceptual evaluation, seven participants chose sentence types in 115 sentences. Pitch, intensity, speech rate, and pitch slope were used to analyze the significant differences. In conclusion, the ASD group showed higher pitch and intensity and a lower overall speaking rate than the TD group. Moreover, there were significant differences in s2 slope of interrogative sentences. Finally, based on the auditory-perceptual evaluation, only 4.3% of interrogative sentences produced by participants with ASD were perceived as declarative sentences. The cause of this abnormal prosody has not been clearly identified; however, pragmatic ability and other characteristics of autism are related to ASD prosody. This study identified prosodic ASD patterns and suggested the need to develop treatments to improve prosody.

• Journal of Gifted/Talented Education
• /
• v.20 no.3
• /
• pp.721-741
• /
• 2010

This study was to analyze verbal interactions between teachers and students after observations on teachers' questioning and feedback, students' response types and frequency analysis at middle-school class of average and gifted students. As for the verbal interaction between teachers and students of science class of general students, it was dominant for teachers to utilize questions for summarizing or guiding for textbook contents as they are. They were focused on immediate feedback in a restatement form. The students used simple responses like yes/no in general. The most high frequency of verbal interaction models expressed were in the order of cognitive-memory thinking question-short answer-immediate feedback. On the other hand, teachers of gifted students' science class threw divergent and evaluative thinking questions of open question, such as 'what's the reason?' or 'why is it?' Immediate feedback in explanatory form was mainly provided as well. The level of feedback delay was higher than general class and that of immediate feedback was lower than general class. The students preferred short words or a not-complicated sentence when they replied and their participation was more attentive and positive. Hence, The high frequency of verbal interaction models expressed were in order of cognitive-memory thinking questions－elaborative short answer－delayed feedback.

• Journal of the Korea Convergence Society
• /
• v.12 no.7
• /
• pp.193-205
• /
• 2021

The AI speaker market is growing steadily. However, the satisfaction of actual users is only 42%. Therefore, in this paper, we collected reviews on Amazon Echo Dot 3rd and 4th generation models to analyze what hinders the user experience through the topic changes and emotional changes of each generation of AI speakers. By using topic modeling analysis techniques, we found changes in topics and topics that make up reviews for each generation, and examined how user sentiment on topics changed according to generation through deep learning-based sentiment analysis. As a result of topic modeling, five topics were derived for each generation. In the case of the 3rd generation, the topic representing general features of the speaker acted as a positive factor for the product, while user convenience features acted as negative factor. Conversely, in the 4^th generation, general features were negatively, and convenience features were positively derived. This analysis is significant in that it can present analysis results that take into account not only lexical features but also contextual features of the entire sentence in terms of methodology.

• The Journal of Korean society of community based occupational therapy
• /
• v.8 no.3
• /
• pp.25-35
• /
• 2018

Objective : The purpose of this study was to identify changes in reading ability among children with Borderline Intelligence by applying an electronic media reading training protocol. Methods : A picture book reading training protocol was applied to 10 childrens with borderline intelligence using electronic media to improve reading skills. This protocol was performed for 10 session once a week. After the analysis of the content validity index about the protocol presented in this study, this prococol was applied to the subjects. To analyze the changes of the reading ability for the subjects, KNISE-BAAT type A and B reading test were used. Results : According to the tests taken before and after implementing, the Application of Picture Booking Training Protocol using Electronic Media there was a significant improvement in Reading ability (Understanding words, Completion sentence, Vocabulary selection, Vocabulary arrangement, Understanding short text). However, there was no significant difference in Oral Reading. Conclusion : Application of Picture Booking Training Protocol using Electronic Media may be used as a beneficial measure to improve the reading abilities of children with Borderline Intellectual.

• KIPS Transactions on Software and Data Engineering
• /
• v.8 no.2
• /
• pp.79-88
• /
• 2019

Machine translation (MT) system, especially Korean-Mongolian MT system, has recently attracted much attention due to its necessary for the globalization generation. Korean and Mongolian have the same sentence structure SOV and the arbitrarily changing of their words order does not change the meaning of sentences due to postpositional particles. The particles that are attached behind words to indicate their grammatical relationship to the clause or make them more specific in meaning. Hence, the particles play an important role in the translation between Korean and Mongolian. However, one Korean particle can be translated into several Mongolian particles. This is a major issue of the Korean-Mongolian MT systems. In this paper, to address this issue, we propose a method to use the combination of UTagger and a Korean-Mongolian particles table. UTagger is a system that can analyze morphologies, tag POS, and disambiguate homographs for Korean texts. The Korean-Mongolian particles table was manually constructed for matching Korean particles with those of Mongolian. The experiment on the test set extracted from the National Institute of Korean Language's Korean-Mongolian Learner's Dictionary shows that our method achieved the accuracy of 88.38% and it improved the result of using only UTagger by 41.48%.