• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.7B
• /
• pp.1361-1369
• /
• 1999

A hit-miss transform(HMT) using modified synthetic structuring elements(SEs) for distortion-invariant recognition of multiple objects is proposed. A fundamental problem in an HMT is the determination of the optimal SE needed to improve the false alarm rate, and detect distorted objects with various shapes. The proposed synthetic methods of SE provide good solutions against this problem. One is the multistage synthesis of each true class SE using only set theory, and the other is the multistage synthesis of each true class and false class SE using set theory and SDF(synthetic discriminant function) synthesis method. Simulation results show the proposed methods can be used for the recognition of distorted intraclass objects and the discrimination of similar interclass objects.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.11
• /
• pp.5278-5283
• /
• 2011

One approach for very high speed korean morphological analysis is to use pre-built morphological results in dictionary. It pays the high cost to build this morphological pattern dictionary manually, besides the dictionary may contain errors. This paper proposes a method to generate morphological patterns automatically using Korean morphological synthesis. The experiment shows that we automatically generate 86% morphological patterns for analyzing Korean sentences. It takes 52.68 seconds for the morphological system using the patterns to analyze 403MB Korean corpus on 2.8GHz Window system.

• Journal of KIISE
• /
• v.44 no.1
• /
• pp.57-62
• /
• 2017

Traditional Korean morphological analysis and POS tagging methods usually consist of two steps: 1 Generat hypotheses of all possible combinations of morphemes for given input, 2 Perform POS tagging search optimal result. require additional resource dictionaries and step could error to the step. In this paper, we tried to solve this problem end-to-end fashion using sequence-to-sequence model convolutional features. Experiment results Sejong corpus sour approach achieved 97.15% F1-score on morpheme level, 95.33% and 60.62% precision on word and sentence level, respectively; s96.91% F1-score on morpheme level, 95.40% and 60.62% precision on word and sentence level, respectively.

• Annual Conference on Human and Language Technology
• /
• 2015.10a
• /
• pp.53-58
• /
• 2015

본 연구는 한국어 정보처리를 위한 형태소 연구 중 선어말어미 분석과 합성을 위한 처리 모형을 제안한다. 이를 위해 (1) 어미를 정의하고 선정한 뒤 (2) 낱말 패러다임 형태 이론에 기반하여 동사 어간을 그 특징에 따라 적절하게 분류한다. (3) 또한 형태소 결합을 위해 필요한 조작들을 기술하고 (4) 마지막으로 어미의 결합 순서와 결합 제약을 만족시킬 규칙을 만들어 제시함으로써 각 조작과 규칙을 이용하여 기계 분석을 하기 위한 프로그램 모형을 내놓는다.

• The Journal of the Acoustical Society of Korea
• /
• v.18 no.4
• /
• pp.17-22
• /
• 1999

It is difficult to integrate the speech processing systems and machine translation system in the spoken language translation system by reason that each system uses its own data and basic processing unit. So, we need a common I/O unit which is used in the whole system. In this paper, we propose a Pscudo-Morpheme as the interface between speech processing systems and language translation system. We implement a morphological analysis system for Pseudo-morpheme. The speech processing system using this pseudo-morpheme can get better result than other systems using the phrase or the general morpheme. So, the quality of the whole spoken language translation system can be improved. The analysis-ratio of our implemented system is 98.9%. This is similar to the common morphological analysis systems.

• Journal of Korea Society of Industrial Information Systems
• /
• v.4 no.2
• /
• pp.102-108
• /
• 1999

It is important to decide processing unit in the large vocabulary speech recognition system we propose a Pseudo-Morpheme as the recognition unit to resolve the problems in the recognition systems using the phrase or the general morpheme. We implement a morphological analysis system and tagger for Pseudo-Morpheme. The speech processing system using this pseudo-morpheme can get better result than other systems using the phrase or the general morpheme. So, the quality of the whole spoken language translation system can be improved. The analysis-ratio of our implemented system is similar to the common morphological analysis systems.

• Proceedings of the Acoustical Society of Korea Conference
• /
• 1998.08a
• /
• pp.413-418
• /
• 1998

음성 합성 시스템의 한 모듈로서 한국어 문자열을 음소열로 자동 변환하는 시스템을 구현하였다. 문자열을 음소열로 변환할 때에는 한국어 음운현상에 대한 체계적인 분석 과정이 필요하다. 한국어의 음운 변화 현상은 단일 형태소 내부와 여러 형태소가 결합하여 한 어절을 이루는 경우 그 형태소 경계, 그리고 어절 경계에서 서로 다른 음운규칙이 적용된다. 따라서 언절이나 문장 등의 입력을 음소열로 변환하기 위해서는 형태소 분석, 태깅작업이 반드시 수행되어야 올바른 발음열을 유도할 수 있다. 본 논문에서 제안한 시스템은 한국어의 형태음운현상을 반영하기 위해 형태소 분석을 선행한 후, 한국어에서 빈번하게 발생하는 음운 변화 현상의 분석을 통해 정의된 음소 변동 규칙과 변이음 규칙을 선택적으로 적용하여 형태소, 어절, 언절 또는 문장 등의 다양한 형태의 입력에 대해 발음열을 생성한다. 기존의 연구에서 분리되어 있던 형태소 태거와 변환시스템을 통합하여 사용자 편의성을 높였으며 텍스트 기반의 형태소 분석기를 사용하기 때문에 원형이 복원되는 형태소들에 대한 처리 루틴을 두어 오류를 감소 시켰다.

• Proceedings of the Acoustical Society of Korea Conference
• /
• spring
• /
• pp.159-162
• /
• 2002

본 논문에서는 음성합성을 위한 의사형태소 품사 태깅 시스템의 속도를 개선하는 방법으로 정확률을 다소 희생하더라도 속도개선이 될 수 있는 방법을 제안하고자 한다. 형태소 해석 시에는 종성으로 올 수 있는 자모를 제외한 나머지에 대해서는 음절단위로 구성하는 변형된 Tabular 파싱법으로 해석하는데, 여기에다 일반적으로 적용 가능한 몇 가지의 규칙을 추가함으로써 해석 가능한 노드들을 줄였다. 태깅 시에는 한국어의 특성상 어절 하나씩을 품사 태깅하였을 경우에도 상당히 정확하다는 점을 이용하여 어절 내부에서는 full search 를 하고 그 다음 어절은 이전 어절의 제일 높은 값을 가지는 품사열 정보를 활용하는 방법을 제안한다. 제안한 시스템은 32 개 품사 태그셋에 2 만 형태소 사전을 이용해 실험한 결과, 기존의 시스템보다 약 $60\%$이상의 속도 개선을 보였으며, 정확률은 약 $1\%$ 정도 떨어졌다.

• Korean Journal of Cognitive Science
• /
• v.27 no.2
• /
• pp.303-323
• /
• 2016

The present study aims to investigate how differences in terms of morphological awareness (MA) influence the learning of new words in young adults. Divided into two groups according to their MA, participants were asked to learn the meanings of rare Hanja words in both morphologically supported and unsupported sentence contexts. The results indicate that high-MA participants were more successful in learning the meanings of the words than the low-MA participants and that the group difference lasted for one week after learning. More importantly, the effect of MA was greater for rare words appearing within morphological supported sentences. These results suggest that both the availability of morphological analyses during learning and individual differences in MA influence the learning of word meanings.

• Korean Journal of Cognitive Science
• /
• v.20 no.3
• /
• pp.309-333
• /
• 2009

Two experiments were conducted to examine the role of Kulja and morpheme in processing two-syllable Sino-Korean words. In Experiment 1, the effects of morphemic frequency were not significant at the initial and final positions of a word while Kulja frequency and Kulja-morpheme correspondence at both positions in a word had a significant impact on the processing of nonwords. Lexical decision times were longer for nonwords with high frequency Kulja and for nonwords with ambiguous Kulja-morpheme correspondence whose Kulja can go with many different morphemes. In Experiment 2 Kulja-morpheme correspondence was examined for words as well as nonwords. Lexical decisions were slower for stimuli with ambiguous Kulja-morpheme correspondence. The effect was more stable for nonwords, which replicated the result of Experiment 1. In sum, the results of this study suggest that words with ambiguous Kulja-morpheme correspondence activate many different morphemes and competition among these morphemic candidates slows down the lexical selection process. Kulja frequency, Kulja neighborhood, morphemic frequency, morphological neighborhood, and Kulja-morpheme correspondence in Korean word recognition were also discussed.