• Phonetics and Speech Sciences
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• v.3 no.1
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• pp.77-83
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• 2011

The present study reports the results of an acoustic study of nasal assimilation at word boundaries in Chinese-Korean interlanguage. Twelve Chinese learners of Korean and four Korean native speakers recorded obstruent#nasal sequences in noun compounds and verb phrases, and their different production patterns were examined in detail. While nasalization of the word-final obstruents occurred only in 11.7% of the obstruent#nasal sequences for the Chinese learners, the Korean native speakers showed complete nasalization of those sequences. However, there was small, but consistent effect of learning on the production of external sandhi in L2, because there were shown to be differences in the rate of nasalization between the two proficiency groups of Chinese participants. On average, the intermediate level learners nasalized the target stops at the rate of 16%, and the beginning level learners showed the 7% nasalization rate. In addition, it was found that the context difference such as noun compounds versus verb phrases does not influence the nasalization pattern across word boundaries.

• Language and Information
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• v.3 no.1
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• pp.39-63
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• 1999

Korean manner-of-motion verbs have different characteristics from locomotion verbs syntactically and semantically, and they are aptly encoded as having the primitive semantic element MOVE, not GO of Jackendoff(1990)'s Conceptual Semantics framework. This point is shown on the basis of their behavior, the inability to take the Goal 'NP-lo' phrases, the Purposive 'S-le' clauses, the 'NP-ey' phrases, and the atelic interpretation. It is further shown that the apparent locomotion verb behavior of some manner-of-motion verbs, 'exocentric' phenomenon in their meaning composition, is merely a transferred aspect of manner-of-motion verbs. Three kinds of strategies, transformational, quasi-transformational, and lexical ones, are examined to describe this phenomenon, and the lexical one is determined to be the most appropriate. The remaining part of this paper pursues the possibility of adopting Tenny's(1987, 1994) 'Aspectual Interface Hypothesis' in establishing an argument linking system with special attention to 'measuring-out', but concludes that the hypothesis can be accepted only in a restricted part of verbs, and with a modified notion of measuring-out like Jackendoff's(1996).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.310-313
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• 2009

기존의 자동 질의응답 시스템은 복잡한 구문처리와 의미분석으로 인하여 그 구현에 많은 어려움이 있다. 본 논문에서는 대화의 주제를 특정 분야로 제한할 경우 구문구(syntactic phrases)와 동의구(synonymous phrases)를 용이하게 처리하는 UNITEX를 사용해 문법을 처리하는 자동응답시스템을 제안한다. 자동응답시스템의 지식표현과 추론, 응답문 생성은 자체 개발한 지식처리시스템인 NEO를 사용한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.305-318
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• 2022

Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

• Korean Journal of Cognitive Science
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• v.19 no.1
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• pp.89-105
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• 2008

In this paper, we suggest a rule-based system for the prediction of natural prosodic phrase breaks from Korean texts. For the implementation of the rule-based system, (1) sentence constituents are sub-categorized according to their syntactic functions, (2) syntactic phrases are recognized using the dependency relations among sub-categorized constituents, (3) rules for predicting prosodic phrase breaks are created. In addition, (4) the length of syntactic phrases and sentences, the position of syntactic phrases in a sentence, sense information of contextual words have been considered as to determine the variable prosodic phrase breaks. Based on these rules and features, we obtained the accuracy over 90% in predicting the position of major break and no break which have high correlation with the syntactic structure of the sentence. As for the overall accuracy in predicting the whole prosodic phrase breaks, the suggested system shows Break_Correct of 87.18% and Juncture Correct of 89.27% which is higher than that of other models.

• Journal of KIISE:Software and Applications
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• v.36 no.5
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• pp.420-429
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• 2009

Patent text is a rich source for discovering technological trends. In order to automate such a discovery process, we attempt to identify phrases corresponding to the problem and its solution method which together form a technology. Problem and solution phrases are identified by a SVM classifier using features based on a combination of a language modeling approach and linguistic clues. Based on the occurrence statistics of the phrases, we identify the time span of each problem and solution and finally generate a trend. Based on our experiment, we show that the proposed semantic phrase identification method is promising with its accuracy being 77% in R-precision. We also show that the unsupervised method for discovering technological trends is meaningful.

• Journal of the East Asian Society of Dietary Life
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• v.6 no.3
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• pp.335-344
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• 1996

This study was to investigate consumer recognition on food label of food package. The results of this study were as follows: 1. when shopping for food, the items considered the most were taste of family, food safety, nutrition and price, respectively. 2. 95.5% of respondents confirmed of the food label of food package when shopping for food. The items confirmed the most on food label were expiration date, manufacture date, manufacturer, food additives and nutrition, respectively. 3. 85.3% of respondents did not satisfy on the food label of food label of food package. 43.6% of respondents demanded food additives more detailed. 28.2% of respondents demanded nutrition information more detailed. 28.2% of respondents demanded food function more detailed. 4. The food which respondents satisfied on food label most were snack '||'&'||' cookies, nuddle, spices, can '||'&'||' bottled food, instant food, processed meat foo, frozen food and imported food, respectively. 5. The group with the most hphrases falling in the top rank was nutrition/calories. The phrases in the nutrition/calories group scored in the top rank were 3 "positive" nutritional characteristics(addition of vitamins, addition of DHA, high dietary fiber) and 5 "nagative" nutritional characteristics(no sugar, low sugar, low calories, low salt and low cholesterol). The group with the most phrases falling in the third rank was ingredient. The phrases in the ingredient scored in the third rank were add of food additives. 6. 55.5% of respondents did not know Recommended Daily Allowance(RDA) information and 61.9% of respondents did not understand the nutrition declaration(content) of food package but 65.7% of resspondents understood the nutrition claim of food package. From these result, respondents were more affected by nutrition claim than by nutrition declaration on food package when shopping for food.ood.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.27-40
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• 2022

This study identifies distinguishing features and variability of intonation patterns in Korean phonological phrases. Syllable count and segmental content, which are phonological conditions, of the intonation of phonological phrases were examined. Based on the four syllables, the intonation of a phonological phrase can be set to LHLH as the basic form, and syllable count acts as a condition for making a variation. The "3 syllables or less condition" changes the intonation from a curved line to a straight line. Variation occurs in pitch bandwidth and fluctuation according to segmental content. The first segment affects the phonological phrase formation bandwidth, and the following segment affects the pitch fluctuation. If the first segment has [+aspirate], [+tense], [+continuant], the intonation is formed in the high band, otherwise, it is formed in the low band. If the second or after segment in the intonation realized in the high band has [-aspirate], [-tense], [-continuant], the pitch is lowered to the lowest level of the low bandwidth. In the intonation realized in the low band, [+aspirate], [+tense], [+continuant] is blocked by the second descent of LHLH.

• (The) Research of the performance art and culture
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• no.43
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• pp.381-403
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• 2021

Cheonsubara Dance is one of the most important ceremonies in Buddhist rituals. This paper is a study on principles of Cheonsubara Dance in Yeongnam. This also distinguishes the Cheonsubara Dance performed for about 7 minutes with no patterns according to 'The Great Dharani of Spiritually Sublime Phrases' by dance words, and analizes its combinations and principles. Cheonsubara Dance in Yeongnam consists of 7 dance words(Greeting, Carrying, Carrying with 180° rotation, Bara-Garugi, Bara-Garugi with both hands, rotate once, Bara-chigi), and put together according to the number of letters from 'The Great Dharani of Spiritually Sublime Phrases'. Usually, the principles can be seen through 4 types of changes from the dance: 1) When letters of 'The Great Dharani of Spiritually Sublime Phrases' appear consecutively with the same number of characters, 2) When a two-letter word turns into a three-letter word, 3) When the opposite of 2) occurs, 4) When 2~3 letter words change in a row.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.