• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.139-140
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• 2017

본 연구는 공과대학 학생들이 배우는 전공영어로서의 특수목적영어(ESP)에 대해 코퍼스 기반 접근법의 유용성을 논하고자 한다. 이에 본 연구에서는 공과대학에서 사용하는 전공텍스트를 코퍼스로 구축하여 컴퓨터에 기반한 분석에서 나온 결과들을 제시하면서 공학영어 코퍼스의 특성을 살펴보고 궁극적으로 영어매개수업을 듣는 공대학생들의 데이터 기반 학습에 일조하고자 한다. 본 연구에서 사용된 목표 코퍼스는 세부전공과 상관없이 공통적으로 적용되는 공학과목을 선정하여 구축되었고 비교대상인 참조 코퍼스는 British National Corpus를 사용하였다. 공학영어 코퍼스는 총 단어 180만개, 단어 유형 만 6천여개로 이루어졌고 코퍼스 분석도구인 AntConc 3.4.4를 이용하여 빈도 분석과 키워드 분석이 수행되었다. 고빈도수 어휘의 분석결과 목표 코퍼스와 참조 코퍼스에서 가장 빈번하게 나타나는 어휘군은 내용어(content words)보다는 기능어(function words) 형태가 많다는 점이 나타났고 내용어군만 분석결과 참조코퍼스에 비해 공학영어 코퍼스에 과학영역의 변이어가 많이 분포하고 있음이 드러났다. 또한 키워드 분석에서는 공학영어 코퍼스의 키워드 동사군이 전문적인 어휘(technical vocabulary)보다는 비전문적인 학술적 어휘(non-technical academic vocabulary)가 상대적으로 많이 분포되어 있음이 드러나 ESP교육을 실시함에 있어서 전공관련 전문영어와 함께 일반적인 학술 영어에 대한 인식을 고양해야 할 필요성이 대두된다.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.107-116
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• 2020

This paper aims to explore the vocabulary difference between South and North Korean English textbooks as a first step toward a unified vocabulary list. To this end, both South and North Korean English textbooks in 2000s and 2010s are digitized into a corpus of text files, and a vocabulary list is constructed based on the corpus with reference to its concordances for the vocabulary use and contexts using AntConc 3.5.7. The vocabulary list of North Korean English textbooks are compared and found in their differences of quantity and quality of the English vocabulary in English education. Both quantitative and qualitative differences are found in between South and North Korean English textbook corpus. Both South and North aim that students learn about 3,000 words throughout the English education. North Korean English textbook contains more special academic vocabulary while South Korean English textbook is constrained by a strict vocabulary control which does not allow such a flexibility. Differences of vocabulary and their use are caused by the capitalistic market economy of South and the socialists' planned economy of North. Differences are also attributed to the religious words and grammatical vocabulary appearance.

• Annual Conference on Human and Language Technology
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• 2013.10a
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• pp.3-8
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• 2013

본 논문에서는 래티스상의 구조적 분류에 기반한 한국어 형태소 분석 및 품사 태깅을 수행하는 방법을 제안한다. 제안하는 방법은 입력문이 주어질 때 어휘 사전을 참조하여, 형태소를 노드로 취하고 인접형태 소간의 에지를 갖도록 래티스를 구성하며, 구성된 래티스상 가장 점수가 높은 경로상에 있는 형태소들을 분석 결과로 제시하는 방법이다. 실험 결과, ETRI 품사 부착 코퍼스에서 기존의 1차 linear-chain CRF에 기반한 방법보다 높은 어절 정확률 그리고 문장 정확률을 얻었다.

• Journal of Korea Game Society
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• v.18 no.5
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• pp.113-122
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• 2018

This paper describes an approach to building and evaluating a sentiment dictionary using a Web corpus in the game domain. To build a sentiment dictionary, we collected vocabulary based on game-related web documents from a domestic portal site, using the Twitter Korean Processor. From the collected vocabulary, we selected the words whose POS are tagged as either verbs or adjectives, and assigned sentiment score for each selected word. To evaluate the constructed sentiment dictionary, we calculated F1 score with precision and recall, using Korean-SWN that is based on English Senti-word Net(SWN). The evaluation results show that average F1 scores are 0.85 for adjectives and 0.77 for verbs, respectively.

• Annual Conference on Human and Language Technology
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• 1997.10a
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• pp.255-260
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• 1997

일반적으로 한국어는 띄어쓰기 단위인 어절이 형태소 분석의 입력 단위로 쓰이고 있다. 그러나 실제 영역(real domain)에서 사용되는 텍스트에서는 띄어쓰기 오류와 같은 비문법적인 형태도 빈번히 쓰이고 있다. 따라서 형태소 분석 과정에 선행하여 적합한 형태소 분석의 단위를 인식하는 과정이 이루어져야 한다. 본 연구에서는 한국어의 음절 특성을 이용한 형태소분석을 위한 어절 인식 방법을 제안한다. 제안하는 방법은 사전에 기반하지 않고 원형코퍼스(raw corpus)로부터의 필요한 음절 정보 및 어휘정보를 추출하는 방법을 취하므로 오류가 포함된 문장에 대하여 견고한 분석이 가능하고 많은 시간과 노력이 요구되는 사전구축 및 관리 작업을 필요로 하지 않는다는 장점이 있다. 한국어 어절 인식을 위하여 본 논문에서는 세가지 확률 모텔과 동적 프로그래밍에 기반한 인식 알고리즘을 제안한다. 제안하는 모델들을 띄어쓰기 오류문제와 한국어 복합명사 분석 문제에 적용하여 실험한 결과 82-85%정도의 인식 정확도를 보였다.

• Journal of KIISE:Software and Applications
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• v.41 no.7
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• pp.523-532
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• 2014

In this paper, we propose a lattice-based discriminative approach for Korean morphological analysis and POS tagging. In our approach, for an input sentence, a morpheme lattice is first created from a lexicon where each node corresponds to a morpheme in the lexicon and each edge is formed between two consecutive morphemes. A candidate result of morphological analysis is then represented as a path in the morpheme lattice which is defined as the sequence of edges, starting in the initial state and ending with the final state. In this setting, the morphological analysis is simply considered as the process of finding the best path among all possible paths. Experiment results show that the proposed lattice-based method outperforms the first-order linear-chain CRF.

• Journal of Korean language education
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• v.29 no.2
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• pp.1-23
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• 2018

This study aims to analyze words and phrases which are frequently used in newsletters from Korean elementary schools. In order to achieve this goal, high frequent words from school newsletters were selected and classified into content and function words, and the domains of the words were looked up. For this study 1,000 school newsletters were collected in the areas of Busan, Ulsan and Gyeongnam. In terms of parts of speech, nouns, especially common nouns, most frequently appeared in the school newsletters followed by verbs and adjectives. This result shows that for immigrant women who have basic knowledge on Korean language, it is useful to give translated words to get the message of school letters. Furthermore, school related terms such as facilities, regulations and activities of school and Chinese-based vocabularies are found in school newsletters. In case of verbs, the words which contain the meaning of requests and suggestions are used the most. Adjectives which are related to positive value and evaluation, and describing weather and season is frequently used as well.

• 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.