• The Journal of the Korea Contents Association
• /
• v.16 no.4
• /
• pp.418-425
• /
• 2016

This paper presents the part-of-speech set which is highly efficient at knowledge-based word sense disambiguation for Korean nouns. 174,000 sentences extracted for test set from Sejong semantic tagged corpus whose sense is based on Standard korean dictionary. We disambiguate selected nouns in test set using glosses and examples in Standard Korean dictionary. 15 part-of-speeches which give the best performance for all test set and 17 part-of-speeches which give the best performance for accuracy average of selected nouns are selected. We obtain 12% more performance by those part-of-speech sets than by full 45 part-of-speech set.

• Journal of Advanced Marine Engineering and Technology
• /
• v.36 no.8
• /
• pp.1123-1128
• /
• 2012

The goal of this research is to develop an error-driven noun-connection rules which is used for breaking complicate nouns in Korean morphology analysis module. We collected complicate nouns from Web sites, and analyzed them by CnuMa. Whenever we find errors from outputs of the analyzer, we write noun-connection rules to correct the errors. The noun-connection rules are devised by considering left/right contexts in compound nouns. The error-driven noun-connection rules are helpful in improving precision and recall of a Korean morphology analyzer, CnuMa by 2.8% and 10.8%, respectively.

• Journal of Engineering Education Research
• /
• v.14 no.2
• /
• pp.30-39
• /
• 2011

There is a problem that some spoken words are not consistent with the written words when Arabic numerals in Korean language are read. Since some rules for reading the Arabic numerals are not clear, the numerals should be read carefully by recognizing the position of the numbers in sentence, the relationship of the numerals with measurement nouns and other writing elements, and context. In view of technical writing, this work is to appreciate some rules for writing Korean numerals in place of Arabic numerals by studying the works regarding numerals, classifiers and measurement nouns.

• Korean Journal of Cognitive Science
• /
• v.18 no.4
• /
• pp.371-398
• /
• 2007

This study examined effects of word frequency and semantic transparency on decomposition processes of compound nouns by semantic priming task and repetition priming task. In Experiment 1, it was investigated that decomposition process depended on word frequency of compound noun. Semantic priming effects were found In the compound noun's associate rendition consistently, and repetition priming effects were found in the whole rendition as well as in the part condition irrespective of word frequency and SOA. These results implied that compound noun was processed through decomposition process path and direct access path. In Experiment 2, Effects of semantic transparency on decomposition processes of compound nouns were examined. Semantic priming effects were found when compound nouns' associates were presented as primes irrespective of semantic transparency and SOA, and results were the same as experiment 1b in repetition priming task. Results of experiment 1 and 2 implies that compound nouns are interpreted by interactive activation processes of attributes activated by decomposition path and direct access path.

• The Journal of the Acoustical Society of Korea
• /
• v.27 no.6
• /
• pp.303-308
• /
• 2008

The purpose of the present study is to investigate that word frequency has significant influence on noun definitions in Korean. The experimental group was 80 students from Elementary school, Middle school, High school and University. They rated familiarity and wrote definitions for nouns. Noun definitions were analyzed with semantic categories such as "use/purpose," "description," "association/relation," "partial explanation," "explanation," "error," "partial explanation-attribute," "partial explanation-specific class," "partial explanation-nonspecific class," "explanation-specific class," "explanation-nonspecific class." As a result, they showed familiarity for high-frequency nouns. "EXPL" categories that use class terms or critical attributes were used more frequently in definitions of high-frequency nouns compared with low-frequency nouns. They increased with age and errors decreased with age. Word frequency had a significant influence on noun definitions.

• Korean Journal of Child Studies
• /
• v.26 no.5
• /
• pp.205-216
• /
• 2005

This study investigated aspects of caregiver's input relating to the early development of nouns and verbs. Subjects were 34 Korean-Chinese children in Yanji, China. At 1 year of age each child's spontaneous speech during interaction with his/her caregiver was videotaped for about 30 minutes. The children's spontaneous utterances were transcribed and coded on the lexical level(nouns and verbs) and the pragmatic level. Children's speech was recorded, transcribed and coded again at 2 years of age. Results showed that children used more verbs when they were older; there were no differences between the two ages in mother's pragmatic utterances but when they were two-years-old children used more actionoriented utterances and object-described utterances. Mother's input was related to children's pragmatic utterances.

• Language and Information
• /
• v.8 no.1
• /
• pp.77-100
• /
• 2004

This paper aims to account for direct combination of an entity type noun with the verb HA- 'do' (ex. piano-rul ha- 'piano-ACC do') in Korean, based on Generative Lexicon Theory (Pustejovsky, 1995). The verb HA-'do' coerces some entity type nouns (e.g., pap 'boiled rice') into event type ones, by virtue of the qualia of the nouns. Typically, a telic-based type coercion supplies individual predication to the HA- construction and an agentive-based type coercion evokes a stage-level interpretation. Type coercion has certain constraints on the choice of qualia. We further point out that qualia cannot be a warehouse of pragmatic information. Qualia are composed of necessary information to explain the lattice structure of lexical meaning and co-occurrence constraints, distinct from accidental information. Finally, we seriously consider co-composition as an alternative to type coercion for the crucial operation of type shift.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.8
• /
• pp.55-63
• /
• 2021

Since social big data often includes new words or proper nouns, statistical morphological analysis methods have been widely used to process them properly which are based on the frequency of occurrence of each word. However, these methods do not properly recognize compound nouns, and thus have a problem in that the accuracy of keyword extraction is lowered. This paper presents a method to extract compound nouns in keyword analysis of social big data. The proposed method creates a candidate group of compound nouns by combining the words obtained through the morphological analysis step, and extracts compound nouns by examining their frequency of appearance in a given review. Two algorithms have been proposed according to the method of constructing the candidate group, and the performance of each algorithm is expressed and compared with formulas. The comparison result is verified through experiments on real data collected online, where the results also show that the proposed method is suitable for real-time processing.

• Language and Information
• /
• v.13 no.1
• /
• pp.21-38
• /
• 2009

Since countability is a grammatical notion, the distinction between count and mass nouns may not reflect countability in the real world. Based on this, Chierchia (1998a; 1998b) provides a typological study of plurality and genericity, which does not account for countability in Korean. Nemoto (2005) revises Chierchia's analysis to deal with count and mass nouns in Korean and Japanese. This study discusses problems with the previous analyses and proposes that the semantic feature of humanness is the main criterion for countability in Korean.

• Journal of KIISE:Software and Applications
• /
• v.30 no.1_2
• /
• pp.173-183
• /
• 2003

Morphological analysis is the most widely used method for extracting nouns from Korean texts. For every Eojeol, in order to extract nouns from it, a morphological analyzer performs frequent dictionary lookup and applies many morphonological rules, therefore it requires many operations. Moreover, a morphological analyzer generates all the possible morphological interpretations (sequences of morphemes) of a given Eojeol, which may by unnecessary from the noun extraction`s point of view. To reduce unnecessary computation of morphological analysis from the noun extraction`s point of view, this paper proposes a method for Korean noun extraction considering noun occurrence characteristics. Noun patterns denote conditions on which nouns are included in an Eojeol or not, which are positive cues or negative cues, respectively. When using the exclusive information as the negative cues, it is possible to reduce the search space of morphological analysis by ignoring Eojeols not including nouns. Post-noun syllable sequences(PNSS) as the positive cues can simply extract nouns by checking the part of the Eojeol preceding the PNSS and can guess unknown nouns. In addition, morphonological information is used instead of many morphonological rules in order to recover the lexical form from its altered surface form. Experimental results show that the proposed method can speed up without losing accuracy compared with other systems based on morphological analysis.