• Journal of Korea Society of Industrial Information Systems
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• v.9 no.4
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• pp.1-7
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• 2004

In this thesis, we introduce a parsing method which use information of the post position in Korean to get the exact parsing tree. In order to implement this method we classified categories of the predicates, and defined sentence-types based on these categories. We tried to make parsing using the method grasping the grammatical role of the noun phrase that have to exist in each sentence-type. In parser control mechanism, we use some heuristics based on linguistic frame. We use conditional unification to implement analysis. It is Possible to reduce ambiguous because the parsing method suggested helps to Prune the branches which are unnecessary.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.7-34
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• 2009

Structures of stories, paragraphs, and sentences and inferences applied to indexing and searching were studied to construct the full-text and sentence retrieval system for storytelling. The system designed the database of stories, paragraphs, and sentences and the knowledge-base of inference rules to aid to write the story. The Knowledge-base comprised the files of story frames, paragraph scripts, and sentence logics made by mark-up languages like SWRL etc. able to operate in semantic web. It is necessary to establish more precise indexing language represented the sentences and to create a mark-up languages able to construct more accurate inference rules.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.233-237
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• 2000

본 논문은 단락의 자동 구분을 통한 중요 문장 추출 시스템을 제안한다. 먼저 어휘의 재출현 여부와 어휘의 일치도, 어휘의 역할 변화를 파악하여 재출현 어휘에 대한 양상을 분석하고 이를 통하여 문장 간의 긴밀도를 정량적으로 계산한다. 다음으로 측정된 문장 간 긴밀도룰 이용하여 사용자의 추출 범위에 따라 단락을 구분하고, 각 단락의 대표 문장을 선정하여 최종문을 생성한다. 제안한 방법은 문서 제목, 문장의 위치, 수사 구조 등의 정보를 이용하지 않으며, 단순히 어휘의 출현 빈도만을 이용하던 기존의 통계적인 방법보다 질 높은 요약문을 생성할 수 있다. 또한 제안한 방법론은 본 논문이 대상으로 삼고 있는 신문기사의 영역뿐만 아니라 다른 영역으로의 적용이 가능하다.

• Phonetics and Speech Sciences
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• v.14 no.2
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• pp.39-54
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• 2022

This study aims to clarify the prosodic differences in speech types by examining the Korean read speech and spontaneous speech in the Korean part of the L2 Korean Speech Corpus (speech corpus for Korean as a foreign language). To this end, the articulation length, articulation speed, pause length and frequency, and the average fundamental frequency values of sentences were set as variables and analyzed via statistical methodologies (t-test, correlation analysis, and regression analysis). The results found that read speech and spontaneous speech were structurally different in the form of prosodic phrases constituting each sentence and that the prosodic elements differentiating each speech type were articulation length, pause length, and pause frequency. The statistical results show that the correlation between articulation speed and articulation length was highest in read speech, explaining that the longer a given sentence is, the faster the speaker speaks. In spontaneous speech, however, the relationship between the articulation length and the pause frequency in a sentence was high. Overall, spontaneous speech produces more pauses because short intonation phrases are continuously built to make a sentence, and as a result, the sentence gets lengthened.

• The Mathematical Education
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• v.59 no.2
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• pp.101-112
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• 2020

The purpose of this study is to analyze the structures of teacher's discourse according to the pattern of interaction between teachers and students in the understanding mathematical word problem. The structures of teacher's discourse could be conceptualized as a process in which the teacher starts, develops and organizes the discourse based on prior research. For this purpose, the fourth class(example, a problem of the same type as the example, formative assessment, and final assessment) was extracted from one semester of experienced teachers who have been practicing teaching methods to facilitate student participation for many years. A methodology used to develop a theory based on data collected through classroom observations. Because the purpose of the study is to identify the structures of teacher's discourse to help the problem understanding, observe the teacher's discourse and collect data based on student engagement. Results show that the structure of teacher's discourse, which consults on important aspects of interaction between teachers-students and creates mathematical meanings, helped students understand the mathematics word problem by promoting their engagement in class. Based on the structures of teacher's discourse to understand problems based on the interaction patterns between teachers and students, it can be said that teachers provided specific methodologies on how to communicate with students in order to understand problems in the future.

• Journal of Educational Research in Mathematics
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• v.26 no.2
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• pp.247-267
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• 2016

It has been pointed out that the mathematics textbooks according to 2009 revised national curriculum cause difficulty not by mathematical knowledge but concomitantly by words and sentences for the first graders who just started learning Korean alphabets. This study focused on the suitability of words and sentences in mathematics textbooks for elementary first grade. We analyzed the degree of difficulty and familiarity in terms of words and the structure, length, and expression in terms of sentences. The results show some causes that lead the first graders to the difficulty. In more detail, we found 108 difficult words and 6 unfamiliar words for the first graders. And it is noticed that the textbooks contain 37 compound sentences, 727 complex sentences, and 38 compound-complex sentences. They also contain 237 long sentences that are composed of 9 words or more, 168 sentences that assign two activities or more, and 52 sentences that contain three nouns or adjectives or more successively. Based on these results and discussions, we suggested several implications for writing mathematics textbooks for the lower grades in elementary school.

• Journal of KIISE:Software and Applications
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• v.37 no.6
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• pp.446-454
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• 2010

According to the original chart parsing algorithm, a sentence is parsed in a strict left-to-right order. The modified chart parsing algorithm proposed in this paper breaks the strictness. With the proposed algorithm, a sentence is parsed in a random order. Conventional left-to-right parsing is also possible, since left-to-right parsing is a special case of random-order parsing. The proposed parsing algorithm is an extension of chart parsing algorithm and its control structure is very simple, so that it is easy to implement the algorithm.

• Annual Conference of KIPS
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• 2006.05a
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• pp.629-632
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• 2006

본 논문에서는 영어 학습을 도와주고 영한 기계번역 시스템의 평가를 통해 기계번역 시스템의 성능 개선을 위한 도구인 HS-eLearner를 설계, 구현하였다. HS-eLearner는 영어 문장의 번역 뿐만 아니라 입력 문장의 구조, 문장에 사용된 단어의 의미를 제공하여 사용자의 효과적인 영어 학습을 보조하는 기능을 가진다. 또한 사용자가 번역된 문장을 평가하여 사용자에 의한 객관적인 번역 시스템에 대한 평가를 기대할 수 있으며 평가 결과를 개발자에게 제공함으로써 번역 시스템의 성능 개선에 사용될 수 있다. 즉 사용자와 개발자간의 커뮤니케이션을 제공함으로써 사용자의 요구를 수용할 수 있는 시스템으로의 개선을 용이하게 한다.

• Annual Conference on Human and Language Technology
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• 1995.10a
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• pp.23-29
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• 1995

대부분의 한국어 구문 분석은 용언과 명사구 사이의 하위범주화 정보를 이용하여 용언에 대한 명사구의 문법적 역할을 밝히는 방향으로 구문 분석을 시도하였다. 여기에 이용된 용언의 하위 범주화 정보가 단지 자릿수 서술어나 형용사, 자동사, 타동사 등으로 분류하는 수준이었기 때문에 구문 모호성이 많이 발생하고 틀린 문장이 구문적으로 옳기 때문에 옳은 문장으로 인식되는 경우가 발생하였다. 이러한 문제점을 해결하기 위하여 본 논문에서는 한국어의 용언에 따른 문장 형태(문형)를 세분류하고 문장에 필수적으로 나타나는 명사구(NP[case])와 수의적으로 나타나는 명사구(NP[case])를 분류하여 분석을 시도하였다. 확장된 PATR II로 문법을 기술하여 동적인 파싱을 쉽게 제어할 수 있도록 하였다. 문형 정보는 한국어의 기본 구조를 자연스럽게 표현할 수 있기 때문에 그 자체를 기계번역을 위한 한국어 문법으로 설정하는 것이 타당하다고 생각된다.

• Journal of the Korean Society for information Management
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• v.16 no.1
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• pp.89-117
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• 1999

(1) structure of writings, (2) construction of paragraphs. (3) structure of sentences, (4) use of words were most important things on local information composition. To be expertise system, the Knowledge-base had the writing frames for essay structure and paragraph frames for construction of paragraph. To refer to the clause and sentence structure and to the use of words, Example dictionaries were offered. It is necessary to make nore precise rule for (1) extracting subject name of the frames and (2) making representative word of sentences for advanced system in the future.