• Title/Summary/Keyword: Korean Word

Search Result 143, Processing Time 0.101 seconds

Effects of Name Agreement and Word Frequency on the English-Korean Word Translation Task (영어-한국어 단어번역과제에서 이름-일치도와 단어빈도의 효과)

  • Koo, Min-Mo;Nam, Ki-Chun
    • MALSORI
    • /
    • no.61
    • /
    • pp.31-48
    • /
    • 2007
  • This study investigated the roles of name agreement and word frequency in the English-Korean word translation task. Using the low-frequency homonyms with low name agreement as stimuli, Experiment 1 revealed that the name agreement of materials is a determinant which could modulate times to translate English words into Korean equivalents. On the contrary, Experiment 2 showed that the name agreement of materials does not play a decisive role in the translation task, using the low-frequency homonyms having high name agreement as stimuli. In Experiment 3, we identified that the frequency effects observed from previous two experiments are indeed brought about during the lexical access. Our findings suggest that the word frequencies of materials have a strong influence on English-Korean word translation times, and homonyms are represented independently each other in the lexeme level.

  • PDF

The Neighborhood Effects in Korean Word Recognition Using Computation Model (계산주의적 모델을 이용한 한국어 시각단어 재인에서 나타나는 이웃효과)

  • Park, Ki-Nam;Kwon, You-An;Lim, Heui-Seok;Nam, Ki-Chun
    • Proceedings of the KSPS conference
    • /
    • /
    • pp.295-297
    • /
    • 2007
  • This study suggests a computational model to inquire the roles of phonological information and orthography information in the process of visual word recognition among the courses of language information processing and the representation types of the mental lexicon. As the result of the study, the computational model showed the phonological and orthographic neighborhood effect among language phenomena which are shown in Korean word recognition, and showed proofs which implies that the mental lexicon is represented as phonological information in the process of Korean word recognition.

  • PDF

The Korean Word Length Effect on Auditory Word Recognition (청각 단어 재인에서 나타난 한국어 단어길이 효과)

  • Choi Wonil;Nam Kichun
    • Proceedings of the KSPS conference
    • /
    • /
    • pp.137-140
    • /
    • 2002
  • This study was conducted to examine the korean word length effects on auditory word recognition. Linguistically, word length can be defined by several sublexical units such as letters, phonemes, syllables, and so on. In order to investigate which units are used in auditory word recognition, lexical decision task was used. Experiment 1 and 2 showed that syllable length affected response time, and syllable length interacted with word frequency. As a result, in recognizing auditory word syllable length was important variable.

  • PDF

Korean Word Learning System Using Automatic Question Generation Technique (자동 문제 생성 기술을 이용한 한국어 어휘학습시스템)

  • Choe, Su-Il;Im, Ji-Hui;Choe, Ho-Seop;Ock, Cheol-Young
    • Korean Journal of Cognitive Science
    • /
    • v.17 no.4
    • /
    • pp.271-286
    • /
    • 2006
  • In this paper, we introduce automatic question generation technique using the language resources like User-Word Intelligent Network(U-WIN) and Korean dictionary including quite a for of information. And we present Korean word learning system with this technique. The item pool method which almost learning-system are using makes some problems. As a solution of the problems, we classified into 8 question type and implemented the Korean word learning system which is making the Korean question automatically by using the morphological and semantic information according to the automatic question generation pattern of each type.

  • PDF

Word Sense Disambiguation using Korean Word Space Model (한국어 단어 공간 모델을 이용한 단어 의미 중의성 해소)

  • Park, Yong-Min;Lee, Jae-Sung
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.6
    • /
    • pp.41-47
    • /
    • 2012
  • Various Korean word sense disambiguation methods have been proposed using small scale of sense-tagged corpra and dictionary definitions to calculate entropy information, conditional probability, mutual information and etc. for each method. This paper proposes a method using Korean Word Space model which builds word vectors from a large scale of sense-tagged corpus and disambiguates word senses with the similarity calculation between the word vectors. Experiment with Sejong morph sense-tagged corpus showed 94% precision for 200 sentences(583 word types), which is much superior to the other known methods.

Open Korean WordNet (KWN): Dictionary-based Semi-Automatic Development (한국어 오픈 워드넷 (KWN) : 사전 기반의 반자동 구축)

  • Lee, In Keun;Hwang, Dosam;Hahm, Younggyun;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
    • /
    • /
    • pp.193-196
    • /
    • 2014
  • 본 논문에서는 사전자원에 기반한 한국어 워드넷(Open Korean WordNet: KWN)의 반자동 구축 방법을 제안한다. 제안한 방법에서는 각 전문분야별로 분류된 영어-한국어 대역사전, 일본어-한국어 대역사전을 이용하여 영어 워드넷(Princeton WordNet 3.0)과 일본어 워드넷(Japanese WordNet 1.1)의 어휘를 번역하였다. 그리고 번역 결과의 애매성을 해소하기 위하여, (1)영어와 일본어에 대한 한국어 대역어의 중복 여부, (2)사전의 분야 정보와 워드넷의 계층구조를 고려하였다. 제안한 방법으로 117,659 개의 워드넷 synset 중 63,221 개(약 54 %)의 synset에 대한 자동번역을 수행하여 한국어 워드넷을 구축하였다. 그리고 워드넷 synset의 정의문은 한국어 사전의 정의문을 참조하여 한글화 할 수 있도록 하고, 이 과정을 지원하기 위한 정의문 추천 알고리즘을 제안한다. 제안한 방법에 기반하여 전문가들이 상호 협력하여 한국어 워드넷을 구축할 수 있는 시스템을 개발한다.

  • PDF

A Design of Japanese Analyzer for Japanese to Korean Translation System (일반 번역시스탬을 위한 일본어 해석기 설계)

  • 강석훈;최병욱
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.32B no.1
    • /
    • pp.136-146
    • /
    • 1995
  • In this paper, a Japanese morphological analyzer for Japanese to Korean Machine Translation System is designed. The analyzer reconstructs the Japanese input sentence into word phrases that include grammatical and dictionary informations. Thus we propose the algorithm to separate morphemes and then connect them by reference to a corresponding Korean word phrases. And we define the connector to control Japanese word phrases It is used in controlling the start and the end point of the word phrase in the Japanese sentence which is without a space. The proposed analyzer uses the analysis dictionary to perform more efficient analysis than the existing analyzer. And we can decrease the number of its dictionary searches. Since the analyzer, proposed in this paper, for Japanese to Korean Machine Translation System processes each word phrase in consideration of the corresponding Korean word phrase, it can generate more accurate Korean expressions than the existing one which places great importance on the generation of the entire sentence structure.

  • PDF

Word Spacing Consistency Check using Syllable and Morpheme Information (음절 및 형태소 정보를 이용한 띄어쓰기 일관성 검사)

  • Lee, Jae-Sung
    • The Journal of the Korea Contents Association
    • /
    • v.10 no.5
    • /
    • pp.10-19
    • /
    • 2010
  • Korean word spacing rules have exceptional cases which permit both spacing and no-spacing between words. The exceptional cases, however, do not mean that inconsistent spacing between words or word-phrases is legitimate in a document proof reading. This paper proposes a word spacing consistency check method using syllable and morpheme information, and evaluated it through experiment.

The exploration of the effects of word frequency and word length on Korean word recognition (한국어 단어재인에 있어서 빈도와 길이 효과 탐색)

  • Lee, Changhwan;Lee, Yoonhyoung;Kim, Tae Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.1
    • /
    • pp.54-61
    • /
    • 2016
  • Because a word is the basic unit of language processing, studies of the word recognition processing and the variables that contribute to word recognition processing are very important. Word frequency and word length are recognized as important factors on word recognition. This study examined the effects of those two variables on the Korean word recognition processing. In Experiment 1, two types of Hangul words, pure Hangul words and Hangul words with Hanja counterparts, were used to explore the frequency effects. A frequency effect was not observed for Hangul words with Hanja counterparts. In Experiment 2, the word length was manipulated to determine if the word length effect appears in Hangul words. Contrary to the expectation, one syllable words were processed more slowly than two syllable words. The possible explanations for these results and future research directions are discussed.

A Stochastic Word-Spacing System Based on Word Category-Pattern (어절 내의 형태소 범주 패턴에 기반한 통계적 자동 띄어쓰기 시스템)

  • Kang, Mi-Young;Jung, Sung-Won;Kwon, Hyuk-Chul
    • Journal of KIISE:Software and Applications
    • /
    • v.33 no.11
    • /
    • pp.965-978
    • /
    • 2006
  • This paper implements an automatic Korean word-spacing system based on word-recognition using morpheme unigrams and the pattern that the categories of those morpheme unigrams share within a candidate word. Although previous work on Korean word-spacing models has produced the advantages of easy construction and time efficiency, there still remain problems, such as data sparseness and critical memory size, which arise from the morpho-typological characteristics of Korean. In order to cope with both problems, our implementation uses the stochastic information of morpheme unigrams, and their category patterns, instead of word unigrams. A word's probability in a sentence is obtained based on morpheme probability and the weight for the morpheme's category within the category pattern of the candidate word. The category weights are trained so as to minimize the error means between the observed probabilities of words and those estimated by words' individual-morphemes' probabilities weighted according to their categories' powers in a given word's category pattern.