• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.133-143
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• 2019

The purpose of this paper was to analyze the differences in executive function according to type of early English learning experience. The subjects were 75 5-years-old who had immersive early English learning in language school, and daycare center. The measurement tools were stroop, DCCST, memorize numbers, pattern fluency, and maze. We conducted covariance analysis with total intelligence as the covariates. In the results, there were significant differences in attention control and cognitive flexibility, but weren't significant differences in information processing and goal setting according to type of early English learning experience. This study suggests that experience of immersive early English learning positively affected attention control and cognitive flexibility, and didn't affect information processing and goal setting.

• Korean Journal of Cognitive Science
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• v.28 no.2
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• pp.111-131
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• 2017

The connectionist model is one approach to studying language processing from a computational perspective. And building a representation in the connectionist model study is just as important as making the structure of the model in that it determines the level of learning and performance of the model. The connectionist model has been constructed in two different ways: localist representation and distributed representation. However, the localist representation used in the previous studies had limitations in that the unit of the output layer having a rare target activation value is inactivated, and the past distributed representation has the limitation of difficulty in confirming the result by the opacity of the displayed information. This has been a limitation of the overall connection model study. In this paper, we present a new method to induce distributed representation with local representation using abstraction of information, which is a feature of restricted Boltzmann machine, with respect to the limitation of such representation of the past. As a result, our proposed method effectively solves the problem of conventional representation by using the method of information compression and inverse transformation of distributed representation into local representation.

• Korean Journal of Cognitive Science
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• v.24 no.3
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• pp.203-235
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• 2013

The goal of this paper is to test the findings about English-speaking children's acquisition of inflectional morphemes in the literature using a large-scale database. For this, we obtained a 4.7-million-word corpus from the CHILDES (Child Language Data Exchange System) database, and analyzed 1,630 British and American children's uses of English derivational morphemes up to age 7. We analyzed the type and token frequencies, type per token ratio (TTR), and the lexical diversity (D) for such inflectional morphemes as the present progressive -ing, the past tense -(e)d, the comparative and superlative -er/est with reference to children's nationality and age groups. To sum up our findings, the correlations between the D value and children's age varied from morpheme to morpheme; e.g. we found no correlation for -ing, a marginal correlation for -ed, and a strong correlation for -er/-est. Our findings are consistent with Brown's (1973) classical observation that children learn progressive forms earlier than the past tense marker. In addition, overgeneralization errors were frequently found for -ed, but rarely for -ing, showing a U-shaped developmental pattern at ages 2-3. Finally, American children showed higher D scores than British children, which showed that American children used inflectional morphemes for more word types compared with British children. The present study has its significance in testing the earlier findings in the literature by setting up well-defined methodology for analyzing the entire CHILDES database.

• Korean Journal of Cognitive Science
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• v.12 no.3
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• pp.1-18
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• 2001

The goal of this paper is the pedagogical application of a Korean Spell/Grammar Checker to the web-based language learning system for Korean writing. To maximize the efficient instruction of our learning system \\`Urimal Baeumteo\\` we have to improve our Korean Spell/Grammar Checker. Today the NLP system\\`s performance defends on its semantic processing capability. In our Korean Spell/Grammar Checker. the tasks accomplished in the semantic level are: the detection and correction of misused derived and compound nouns in a Korean spell-checking device and the detection and correction of syntactic and semantic errors in a Korean grammars-checking device. We describe a common approach to the partial parsing using collocation rules based on the dependency grammar. To provide more detailed semantic rules. we classified nouns according to their concepts. and subcategorized verbs referring to their syntactic and semantic features. Improving a Korean Spell/Gl-Grammar Checker makes our learning system active and intelligent in a web-based environment. We acknowledge the flaws in our system: the classification of nouns based on their meanings and concepts is a time consuming task. the analytic unit of this study is principally limited to the phrases in a sentence therefore the accurate parsing of embedded sentences remains a difficult problem to solve. Concerning the web-based language learning system. it is critically important to consider its interface design and structure of its contents.

• Korean Journal of Cognitive Science
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• v.22 no.1
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• pp.57-78
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• 2011

Paraphrasing is the act of writing a text using other words without altering the meaning. Paraphrases can be used in many fields of natural language processing. In particular, paraphrases can be incorporated in machine translation in order to improve the coverage and the quality of translation. Recently, the approaches on paraphrase extraction utilize bilingual parallel corpora, which consist of aligned sentence pairs. In these approaches, paraphrases are identified, from the word alignment result, by pivot phrases which are the phrases in one language to which two or more phrases are connected in the other language. However, the word alignment is itself a very difficult task, so there can be many alignment errors. Moreover, the alignment errors can lead to the problem of selecting incorrect pivot phrases. In this study, we propose a method in paraphrase extraction that discriminates good pivot phrases from bad pivot phrases. Each pivot phrase is weighted according to its reliability, which is scored by considering the lexical and part-of-speech information. The experimental result shows that the proposed method achieves higher precision and recall of the paraphrase extraction than the baseline. Also, we show that the extracted paraphrases can increase the coverage of the Korean-English machine translation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.552-562
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• 2016

Although a number of studies have been conducted in Korea since 2000 on the impact of early English education, their interpretation is still not conclusive, due to their lack of control groups and failure to control for third factors and use valid measurements. The present study was designed to examine the effect of an English education program on young children's English proficiency after 8 months using the most well-known official English proficiency measure, the WIDA for kindergarteners. In addition, the children's Korean language proficiency, cognitive abilities, personality, parents' SES, and parents' attitudinal variables before the education were measured and controlled. The results indicated that the intervention group performed better than the control group in both listening and speaking skills, even when all relevant factors were considered. This effect, however, was only found in the item-level analyses.

• Korean Journal of Cognitive Science
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• v.4 no.1
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• pp.153-176
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• 1993

Structual ambiguity is one of those problem that arise in the analysis of natural language sentences.It has been considered very difficult to solve the problem.Structural ambiguity,however,should be resolved no matter how difficult it may be.Otherwise natural language processing could be virtually impossible.A statistical approach to structural disambiguation is proposed in this dissertation.The information-theoretic concept of mutual information has been empolyed in resolving structural ambiguity Mutual information can be acquired in an automatic way.from text corpora. If a structural disambiguation subsystem had the capability of self-evaluating whether the results of structural disambiguation are correct or not.it would be possible to develop a more intelligent natural language proessing system.In this paper,the concept of confidence measure is also proposed to endow the disambiguation subsystem with such intelligence.Confidence measure is a numeric value calculated after structural disambiguation. Some experiments were performed in order to show the validity of the approach.Mutual information was auto matically acquired from a corpus of 1.6milion words that were collected from scientific abstracts.The accuracy of structural disambiguation was 80%when performed over 1,639 test sentences.Notice that there was no manual tuning in advance for the experiments.The task of detecting and correcting errors in structural disambiguation will be performed very effectively if the concept of confidence measure is employed in the process.

• Korean Journal of Cognitive Science
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• v.29 no.4
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• pp.243-263
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• 2018

This research investigated whether inter-word spaces, the spaces between words, can affect the efficiency of Korean-speaking CSL(Chinese as a second language) learners in Chinese reading of Korean-speaking's ability to read Chinese. Through eye movement tracking experiments, CSL learners of different proficiency levels(beginning, intermediate, and advanced) and native Chinese readers were asked to read Chinese sentences with and without inter-word spaces. The tests analysed the participants' fixation counts and the time spent in reading each sentences and also between each words. In terms of the fixation counts and time spent between sentences, the results show that there were no significant difference in participants' fixation counts from reading sentences with and without inter-word spaces. The results also prove that reading sentences with inter-word spaces significantly shortened the reading time for both CSL learners and native Chinese readers. Even for the participants' fixation counts and time duration between each words, participants spent significantly less fixation counts and reading time while reading words with inter-word spaces. The results were more prominent and positive in tests conducted with CSL learners of lower proficiency. This research shows that inter-word spaces in Chinese texts can enhance the efficiency of chinese learners' reading ability.

• Korean Journal of Cognitive Science
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• v.35 no.3
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• pp.205-224
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• 2024

The reading processes of Chinese-Korean bilinguals, who have learned Korean as a foreign language, are expected to show different eye movement patterns compared to native Korean speakers. Moreover, these bilinguals may utilize knowledge similar to Chinese in processing Korean word meanings, especially for Sino-Korean words that share semantic relationships with Chinese, potentially processing them faster than native Korean words. This study observed whether Chinese-Korean bilinguals show the word frequency effect typically observed in Korean native speaker reading during Korean sentence reading. Additionally, eye-tracking experiments were conducted under conditions distinguishing between native Korean words and Sino-Korean words to investigate whether there is an advantage in processing Sino-Korean words. The results of the experiments showed that Chinese-Korean bilinguals did not show the same frequency effects as native Korean speakers, and they showed shorter response times in the Sino-Korean condition compared to the native Korean condition. Based on these findings, it is suggested that Chinese-Korean bilinguals, when learning Korean as a foreign language, employ strategies focused on meaning similarity akin to their native language vocabulary acquisition strategies, and they process Sino-Korean words faster than native Korean words, suggesting a potential advantage in learning and processing Sino-Korean vocabulary.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.65-71
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• 1997

이 논문은 부산대학교 전자계산학과 인공지능 연구실에서 개발한 정보검색 시스템 "미리내"의 적합성 피드백 방법을 분석하고, 그 방법들의 검색 효율을 비교 분석하였다. "미리내"에서 질의문은 자연언어 질의문을 사용하고 재검색을 위한 적합성 피드백은 원질의문에서 검색된 문서 중 이용자가 직접 선택한 적합 문서에서 추출한다. 적합성 피드백은 크게 단어 확장(Term Expansion)을 위한 단어 선택 방법과 추가될 단어에 가중치를 부여하는 단어 가중치 부여(Term Weighting)의 2가지 요소로 이루어진다. 단어 선택을 위해서는 적합 문서에 나타난 단어 빈도합(tf), 역문헌빈도(idf), 적합 문서 중에서 해당 단어가 있는 적합 문서의 비율(r/R) 등의 정보를 이용한다. 단어 가중치 부여 방법으로는 정규화 또는 코사인 함수를 이용하여 부여하였다. 단어확장에는 tfidf가 tfidf(r/R)보다 정확도 면에서 나은 향상율을 보였으나, 30위 내 검색된 적합문서의 수를 비교해 보았을 때 tfidf(r/R)의 정확도가 높았다. 단어 선택 방법에서 계산된 값을 정규화하여 가중치를 부여하였을 때 보다 코사인 함수를 이용하여 가중치를 부여하였을 때 정확도가 높았다. 실험은 KT-Set 2.0 (4391 건), 동아일보 96 년 신문기사(70459 건)를 대상으로 수행하였다.