• 아동학회지
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• 제29권2호
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• pp.73-87
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• 2008

This research studied the effects of music experiences on the language development of toddlers in the day care setting. Subjects were 44(23 experimental group; 21 control group) 29- to 42-month-old children. The experimental group experienced 10 weeks of music activities, including musical sense, singing, listening, playing instruments, improvisation, finger plays, movement, simple games, word-sound music games and music routines. Language development was tested by the Preschool Receptive-Expressive Language Scale(Kim et al. 2003). Significant differences were found in the receptive language development of 30- to 36-month-old and in the expressive language development of 36- to 42-month-old toddlers, respectively.

• 아동학회지
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• 제32권6호
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• pp.157-185
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• 2011

The purpose of this study was to explore the factors influencing preschoolers' emergent English as a second language literacy skills in terms of maternal language behavior in Korean and English picture book reading. This study was also conducted in order to identify the pathways of each factor. The subjects consisted of 201 mothers and their 3~5 year-old children from middle income families living in Seoul, Incheon, Gyyounggi-do, and Chungcheongbuk-do. The results indicated that the factors influencing preschoolers' emergent English as a second language literacy skills acquisition were as follows : maternal beliefs about the value of picture book reading, the child's level of interest in picture book reading, the time spent on picture book reading and maternal language behavior during picture book reading activities. The results further indicate that it is important that the mother shares desirable language interaction with her children in their native language while reading not only Korean but also English picture books when aiming to improve preschoolers' emergent English literacy skills.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 1995년도 제7회 한글 및 한국어 정보처리 학술대회
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• pp.80-85
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• 1995

본 논문은 문서 작성시 해당 문서의 구조적 제한 조건을 명시한 DTD(Document Type Definition) 문법 및 SGML 태깅 방법에 익숙치 않은 사용자가 문서 템플리트를 통해 오류없는 SGML문서를 작성할 수 있도록 하는 구조화 문서 작성/편집 시스템을 소개한다. 본 시스템은 크게 DTD 해석기와 문서편집기로 구성되며 현재 오브젝트 지향 방법론에 따라 구현 중이다.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.282-291
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• 2022

This research applies a pre-trained bidirectional encoder representations from transformers (BERT) handwriting recognition model to predict foreign Korean-language learners' writing scores. A corpus of 586 answers to midterm and final exams written by foreign learners at the Intermediate 1 level was acquired and used for pre-training, resulting in consistent performance, even with small datasets. The test data were pre-processed and fine-tuned, and the results were calculated in the form of a score prediction. The difference between the prediction and actual score was then calculated. An accuracy of 95.8% was demonstrated, indicating that the prediction results were strong overall; hence, the tool is suitable for the automatic scoring of Korean written test answers, including grammatical errors, written by foreigners. These results are particularly meaningful in that the data included written language text produced by foreign learners, not native speakers.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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• pp.411-420
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• 2002

The left-associative grammar model (LAG) has been applied successfully to the morphologic and syntactic analysis of various european and asian languages. The algebraic definition of the LAG is very well suited for the application to natural language processing as it inherently obeys de Saussure's second law (de Saussure, 1913, p. 103) on the linear nature of language, which phrase-structure grammar (PSG) and categorial grammar (CG) do not. This paper describes the so-called Loom-LAGs (LLAG) -a specialization of LAGs for the analysis of natural language. Whereas the only means of language-independent abstraction in ordinary LAG is the principle of possible continuations, LLAGs introduce a set of more detailed language-independent generalizations that form the so-called loom of a Loom-LAG. Every LLAG uses the very smut loom and adds the language-specific information in the form of a declarative description of the language -much like an ancient mechanised Jacquard-loom would take a program-card providing the specific pattern for the cloth to be woven. The linguistic information is formulated declaratively in so-called syntax plans that describe the sequential structure of clauses and phrases. This approach introduces the explicit notion of phrases and sentence structure to LAG without violating de Saussure's second law iud without leaving the ground of the original algebraic definition of LAG, LLAGS can in fact be shown to be just a notational variant of LAG -but one that is much better suited for the manual development of syntax grammars for the robust analysis of free texts.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제19권4호
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• pp.267-278
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• 2015

The study is about the influence of literal, symbolic and graphics languages on mathematics reading. The results show that the scores of symbolic language volume are significantly lower than that of literal language volume. The abstractness of the mathematical symbols will not have a significant impact on the students with excellent mathematical academic, but as for the medium and poor students, abstract mathematics symbols will cause their cognitive impairment. Due to picture-superiority-effect, the test scores of the graphics language volume are significantly higher than that of the symbolic language volume. Graphics language will have a significant impact on the excellent and medium students, but has no impact on the poor students.

• 대한음성학회지:말소리
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• 제56호
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• pp.207-223
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• 2005

The goal of language model adaptation is to improve the background language model with a relatively small adaptation corpus. This study presents a language model adaptation technique where additional text data for the adaptation do not exist. We propose the information retrieval (IR) technique with N-gram language modeling to collect the adaptation corpus from baseline text data. We also propose to use a dynamic language model interpolation coefficient to combine the background language model and the adapted language model. The interpolation coefficient is estimated from the word hypotheses obtained by segmenting the input speech data reserved for held-out validation data. This allows the final adapted model to improve the performance of the background model consistently The proposed approach reduces the word error rate by $13.6\%$ relative to baseline 4-gram for two-hour broadcast news speech recognition.

• 음성과학
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• 제13권2호
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• pp.59-72
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• 2006

In the present study, we investigated the grammaticality judgement skills of children with developmental language impairments. The participants included 20 children with language impairments of ages ranging from 7 to 9 years and of IQ's ranging from 71 to 84, and 40 normally developing children. Twenty normal children were matched with the language impaired children in their language ages and the other 20 normal children were matched with the language impaired children in their chronological ages. The children were asked to judge the grammatical correctness of 48 short sentences, half of which were ungrammatical sentences containing incorrect case-markers and the other half were grammatically correct sentences. Four types of case-markers including nominative "i/ga", accusative "ul/lul", locative "e," and instrumental "ro" were systematically changed to generate the ungrammatical sentences. The language impaired children performed worse than both groups of normally developing children in detecting the ungrammatical sentences and in correcting the case-markers of those sentences. In detecting the errors of ungrammatical sentences, the language impaired children exhibited variable performances across the different case-markers.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제15권2호
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• pp.197-208
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• 2011

By using the recording and quantitative analysis of two videos about "The multiplication and division of the Fractions" and the "Flanders Interaction Analysis System," we classified the teachers' language of instruction in algebra classroom and also analysis the language of instruction in the different teaching process. The results after the analysis as follows: (1) The proportion of time was taken in teachers' language of instruction is high and vary in types, most of the teachers' language is teachers' question; (2) In the different teaching process, the proportion of time was taken in teachers' language of instruction is different; (3) Teachers attached importance to explain the example and had the similar teaching strategy, but the teachers' language is different; (4) In the practice process, teachers placed importance on exploring the tough question and its teaching strategies are different. The teachers' questions are the main teachers' language of instruction.

• 한국정보과학회논문지:소프트웨어및응용
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• 제27권8호
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• pp.902-911
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• 2000

언어의 의미정의모듈은 서로 밀접하게 관련 있는 개념과 연산의 의미구조를 모아 놓은 집합이다. 이 논문은 액션 의미표기법으로 의미정의모듈을 구성하고 확장하는 방법을 제시한다. 표현중심언어 핵심 모듈을 먼저 정의하고, 바인딩, 블록구조, 파라미터, 고차 표현식(함수)에 대한 확장 모듈을 정의한다. 그리고 의미의 획일성과 직교성이 보장되도록 의미정의 모듈들을 합성하면 더 복잡한 언어를 구축할 수 있음을 보인다.