• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.103-117
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• 2023

This study focuses on the behavioural lexical classification for extracting animation character actions and the analysis of the character's upper and lower body movements. The behaviour and state of characters in the animation industry are crucial, and digital technology is enhancing the industry's value. However, research on animation motion application technology and behavioural lexical classification is still lacking. Therefore, this study aims to classify the predicates enabling animation motion, differentiate the upper and lower body movements of characters, and apply the behavioural lexicon's motion data. The necessity of this research lies in the potential contributions of advanced character motion technology to various industrial fields, and the use of the behavioural lexicon to elucidate and repurpose character motion. The research method applies a grammatical, behavioural, and semantic predicate classification and behavioural motion analysis based on the character's upper and lower body movements.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.655-667
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• 2014

This paper has identified five major categories of the T2D patients' concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients' emotions. As a result, the study showed that quantitative analysis based on text-mining is a viable method of generalizing the psychological concerns and features of T2D patients.

• Korean Journal of Cognitive Science
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• v.34 no.4
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• pp.277-297
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• 2023

This study attempted to find out how lexical decision of two-syllable words or pseudo-words is affected by syllabic information, such as syllable frequency, syllable (i.e. vowel) type, and presence of final consonant (i.e. batchim), through the analysis of the Korean Lexicon Project Database (KLP-DB). Hierarchical regression of RT data showed that lexical decision of words was influenced by the frequency of the first syllable, the syllable type of the first and second syllables, batchim for the first and second syllables, and also by the interaction of the two syllable types and the interaction of syllable frequency and batchim of the second syllable. For pseudo-words lexical decision was influenced by the frequency of the first and second syllables, syllable type of the first syllable, and batchim for the first and second syllables, and also by the interaction of the two syllable frequencies, the interaction of the two syllable types, and the interaction of syllable frequency and batchim of the first syllable. Word frequency had a strong effect on lexical decision of words, while syllabic information had a stable effect on the lexical decision of pseudo-words. These results indicate that syllabic information should be seriously considered in constructing word and pseudo-word lists and interpreting lexical decision time. Understanding the effect of syllabic information will also contribute to the understanding of word recognition process.

• Phonetics and Speech Sciences
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• v.10 no.1
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• pp.15-22
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• 2018

Stressed vowels in English are usually produced using longer duration, higher pitch, and greater intensity than unstressed vowels. However, many English as a foreign language (EFL) learners have difficulty producing English lexical stress because their mother tongues do not have such features. In order to investigate if certain non-native English speakers (Korean, Japanese, and Taiwanese-Chinese native speakers) are able to produce English lexical stress in a native-like manner, speech samples were extracted from the L2 learners' corpus known as AESOP (the Asian English Speech cOrpus Project). Sixteen disyllabic words were analyzed in terms of the ratio of duration, pitch, and intensity. The results demonstrate that non-native English speakers are able to produce English stress in a similar way to native English speakers, and all speakers (both native and non-native) show a tendency to use duration as the strongest cue in producing stress. The results also show that the duration ratio of native English speakers was significantly higher than that of non-native speakers, indicating that native speakers produce a bigger difference in duration between stressed and unstressed vowels.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.1
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• pp.13-20
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• 2006

In this paper, we constructed a spam-mail filtering system based on the lexical and conceptual information. There are two kinds of information that can distinguish the spam mail from the legitimate mil. The definite information is the mail sender's information, URL, a certain spam keyword list, and the less definite information is the word lists and concept codes extracted from the mail body. We first classified the spam mail by using the definite information, and then used the less definite information. We used the lexical information and concept codes contained in the email body for SVM learning. According to our results the spam precision was increased if more lexical information was used as features, and the spam recall was increased when the concept codes were included in features as well.

• Phonetics and Speech Sciences
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• v.6 no.2
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• pp.65-71
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• 2014

The purpose of this study was to investigate whether young children with cleft palate differ from those of noncleft typically developing children in terms of expressive vocabulary size, phonological characteristics and lexical selectivity. A total of 12 children with cleft palate and 12 noncleft children who were matched by age and gender participated in the study. The groups were compared by size of expressive vocabulary reported on Korean version of MacArthur-Bates Communicative Development Inventories and the number of different words, consonant inventory, the percentage of words beginning with obstruents and vowels, nasal, and glottal sounds, and the percentage of words which do not include obstruents in a language sample. Also, correlation analysis were performed to examine the relationship between measures on size of expressive vocabulary and phonological characteristics. The results showed that expressive vocabulary size and consonant inventory for children with cleft palate produced significantly smaller than those for noncleft children. Children with cleft palate produced significantly more words beginning with vowel or which do not include obstruents, and fewer words beginning with obstruents than noncleft children. The two groups showed different results on significant correlations between measures on size of expressive vocabulary and phonological characteristics indicating that children with cleft palate show different lexical selectivity from their noncleft peers. The results suggest that children with cleft palate aged 18-30 months demonstrate a slower rate of lexical and phonological development compared with their noncleft peers and they develop lexical selectivity reflecting cleft palate speech. The results will have a clinical implication on speech-language intervention for young children with cleft palates.

• Language and Information
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• v.14 no.2
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• pp.71-84
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• 2010

The aim of this paper is to propose that a category P is encapsulated within a functional layer above the lexical layer, just like vP containing a lexical VP. As is well known, the category P has long been in the obscure domain of syntactic studies: Marantz (2001) and den Dikken (2003), for example, argue that P is a lexical category, but Emonds (1985), Grimshaw (1991), and Baker (2003), maintain that the category P is functional and is a closed category without its own intrinsic meaning. On the other hand, Zwart (2005) argues that it does have some meaning. Following the works of Svenonius (2003, 2006, 2007), and the spirit of Rizzi's (1997) split CP hypothesis, we elaborate and develop Svenonius' idea of split-pP analysis with detailed schematic representations of the novel examples in English, Korean, and Chinese in this paper. Unlike Svenonius, however, this paper incorporates KP into pP-Shell, which is a substantial simplification. Furthermore, Chinese Localizers that have long been considered as Postpositions are now under the category of Prepositions. This proposal renders an X-bar theoretic consistency over the categorical status of Chinese phrasal structures. In short, the present analysis accounts for inconsistency found in English complex preposition phrase (Quirk, et al, 1972, 1985), Chinese circumposition phrase (Ernst 1988, Liu, 2002) and Korean postposition phrase in a unified and consistent manner. Furthermore, by proposing a finer-grained phrasal architecture for the category P, the controversial status of the category subsides within this analysis.

• Speech Sciences
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• v.12 no.4
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• pp.237-245
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• 2005

The purpose of this study was to investigate the characteristics for cohesion in the narratives of fluent aphasics. Ten fluent aphasics and ten normal adults matched chronological-age and education level with aphasics participated in this study. Story retelling task was given to the participants individually. And all narratives they produced were recorded and transcribed for analysis. The frequency of cohesive markers and the rate of accuracy were analyzed. The result were as follows; (1) The fluent aphasics used cohesive devices significantly less than the normal adult group, and the rate of accuracy of cohesive devices used was lower than the normal adults. (2) Both groups used lexical cohesion more than pro-forms and ellipsis, and the difference of two groups was larger in lexical cohesion than pro-forms and ellipsis. (3) The fluent aphasics used lexical cohesion more accurately than pro-forms and ellipsis but the normal adults used all three cohesive markers accurately. The difference of two groups was large in pro-forms and ellipsis.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.353-366
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• 2019

As social standards have been subdivided and specialized due to social development, the number of related laws has also increased gradually, resulting in problems of duplication or conflict within the laws. After collecting all the safety standards that exist in Korea's legislation, it is necessary to analyze the characteristics of safety standards to find duplicate or conflicting issues. In this study, the characteristics of safety standards were divided into structural parts and lexical parts by extracting common elements that appear in all safety standards and singular points that appear only in specific safety standards. As a result of the analysis, two structural properties of safety standard were found and four lexical features were derived. The impact of these characteristics on future systems for managing safety standards was also reviewed. Based on this study, when more structural and lexical features of safety standards are accumulated in the future, it is possible to develop efficient algorithms to collect and analyze safety standards, which will help solve the problem of duplication and conflict of safety standards in the law.

• ETRI Journal
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• v.38 no.3
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• pp.494-501
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• 2016

Sentiment analysis incorporates natural language processing and artificial intelligence and has evolved as an important research area. Sentiment analysis on product reviews has been used in widespread applications to improve customer retention and business processes. In this paper, we propose a method for performing an intensified sentiment analysis on customer product reviews. The method involves the extraction of two feature sets from each of the given customer product reviews, a set of acoustic features (representing emotions) and a set of lexical features (representing sentiments). These sets are then combined and used in a supervised classifier to predict the sentiments of customers. We use an audio speech dataset prepared from Amazon product reviews and downloaded from the YouTube portal for the purposes of our experimental evaluations.