• Title/Summary/Keyword: Noun pattern

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The Phonology and Phonetics of the Stress Patterns of English Compounds and Noun Phrases

  • Lee, Joo-Kyeong
    • Speech Sciences
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    • v.14 no.1
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    • pp.21-35
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    • 2007
  • This paper attempts to investigate phonetic substances of the stress patterns of English compounds and noun phrases, showing that the theoretically derived stress structures are not consistent with the accentual patterns in real utterances. Even though it has been long claimed that compounds have the stress pattern [1 3] and that noun phrases, [2 1] as in Chomsky & Halle (1968), their difference has not been yet explored empirically or phonetically. I present a phonetic experiment conducted to see if there is any difference along the tonal contours, mostly focusing on their pitch accent distribution. 36 different compounds and 36 different noun phrases included in carrier sentences were examined, and they were varied in position within a sentence. Results showed that various accentual patterns were produced, and among them, [H* X] predominantly occurs in all three positions in both compounds and noun phrases, whereas the patterns [X H*] and [X X] appear relatively more frequently in final position than in initial and medial position. Furthermore, the pattern [Ac + No], in which the preceding element is pitch-accented with no accent on the following one, is the major stress pattern in both compounds and noun phrases and in all three sentence positions. This suggests that there seems to be no difference in accentual patterns between compounds and noun phrases, which is not consistent with the hypothesis. The results are interpreted as saying that the preceding element alone tends to be prominent with no accent following it both in compounds and noun phrases, and that therefore, theoretically speculated phonological claims are not always phonetically supported.

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Noun versus Verb Bias Revisited

  • ChangSong, You-kyung;Pae, So-Yeong
    • Speech Sciences
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    • v.10 no.1
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    • pp.131-141
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    • 2003
  • Recently, researchers have been debating whether Korean children exhibit a verb bias or not. Since verbs are perceptually and structurally more salient in Korean language, it has been questioned whether these differences in the Korean make a difference in the pattern of noun and verb acquisition of Korean children. Although language structures may vary between Korean and English, universal cognitive constraints play an important role in early vocabulary acquisition. Several recent studies have examined the noun and verb acquisition of Korean children. However, their conclusions regarding the noun versus verb bias have still been inconclusive. In this paper, previous studies investigating Korean children's noun versus verb bias are examined. Methodological issues are mentioned and results were reinterpreted as favoring the noun bias for one-year-old Korean children.

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Korean Noun Extractor using Occurrence Patterns of Nouns and Post-noun Morpheme Sequences (한국어 명사 출현 특성과 후절어를 이용한 명사추출기)

  • Park, Yong-Hyun;Hwang, Jae-Won;Ko, Young-Joong
    • Journal of KIISE:Software and Applications
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    • v.37 no.12
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    • pp.919-927
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    • 2010
  • Since the performance of mobile devices is recently improved, the requirement of information retrieval is increased in the mobile devices as well as PCs. If a mobile device with small memory uses a tradition language analysis tool to extract nouns from korean texts, it will impose a burden of analysing language. As a result, the need for the language analysis tools adequate to the mobile devices is increasing. Therefore, this paper proposes a new method for noun extraction using post-noun morpheme sequences and noun patterns from a large corpus. The proposed noun extractor has only the dictionary capacity of 146KB and its performance shows 0.86 $F_1$-measure; the capacity of noun dictionary corresponds to only the 4% capacity of the existing noun extractor with a POS tagger. In addition, it easily extract nouns for unknown word because its dependence for noun dictionaries is low.

Related cerebral representations of Morphological Information Processing in Korean Verb and Noun Eojeols (한국어 용언과 체언어절의 형태소 정보처리 관련 대뇌영역)

  • Yim Hyungwook;Park Changsu;You Jaewook;Lim Heuiseok;Nam Kichun
    • Proceedings of the KSPS conference
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    • 2003.10a
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    • pp.75-78
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    • 2003
  • The paper deals with experimental results which was performed to investigate the characteristics of Korean lexical processing and representation of morphemes involved in Korean noun and verb Eojeols. The investigation is also related with the 'English past tense debate' which deals with human mental computation. Experiments using fMRI methods, show that Korean noun Eojeols and both regular and irregular verb Eojeols show a similar activation pattern. Thus, the results indicate that the morphological processing in Korean noun and verb Eojeols are performed quite differently than the Indo-European morphological processing.

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Automatic Construction of Syntactic Relation in Lexical Network(U-WIN) (어휘망(U-WIN)의 구문관계 자동구축)

  • Im, Ji-Hui;Choe, Ho-Seop;Ock, Cheol-Young
    • Journal of KIISE:Software and Applications
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    • v.35 no.10
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    • pp.627-635
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    • 2008
  • An extended form of lexical network is explored by presenting U-WIN, which applies lexical relations that include not only semantic relations but also conceptual relations, morphological relations and syntactic relations, in a way different with existing lexical networks that have been centered around linking structures with semantic relations. So, This study introduces the new methodology for constructing a syntactic relation automatically. First of all, we extract probable nouns which related to verb based on verb's sentence type. However we should decided the extracted noun's meaning because extracted noun has many meanings. So in this study, we propose that noun's meaning is decided by the example matching rule/syntactic pattern/semantic similarity, frequency information. In addition, syntactic pattern is expanded using nouns which have high frequency in corpora.

The Acquisition of External Sandhi in a Second Language: Production of Obstruent Nasalization by Chinese Learners of Korean

  • Han, Jeong-Im
    • Phonetics and Speech Sciences
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    • v.3 no.1
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    • pp.77-83
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    • 2011
  • The present study reports the results of an acoustic study of nasal assimilation at word boundaries in Chinese-Korean interlanguage. Twelve Chinese learners of Korean and four Korean native speakers recorded obstruent#nasal sequences in noun compounds and verb phrases, and their different production patterns were examined in detail. While nasalization of the word-final obstruents occurred only in 11.7% of the obstruent#nasal sequences for the Chinese learners, the Korean native speakers showed complete nasalization of those sequences. However, there was small, but consistent effect of learning on the production of external sandhi in L2, because there were shown to be differences in the rate of nasalization between the two proficiency groups of Chinese participants. On average, the intermediate level learners nasalized the target stops at the rate of 16%, and the beginning level learners showed the 7% nasalization rate. In addition, it was found that the context difference such as noun compounds versus verb phrases does not influence the nasalization pattern across word boundaries.

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Generalization of error decision rules in a grammar checker using Korean WordNet, KorLex (명사 어휘의미망을 활용한 문법 검사기의 문맥 오류 결정 규칙 일반화)

  • So, Gil-Ja;Lee, Seung-Hee;Kwon, Hyuk-Chul
    • The KIPS Transactions:PartB
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    • v.18B no.6
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    • pp.405-414
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    • 2011
  • Korean grammar checkers typically detect context-dependent errors by employing heuristic rules that are manually formulated by a language expert. These rules are appended each time a new error pattern is detected. However, such grammar checkers are not consistent. In order to resolve this shortcoming, we propose new method for generalizing error decision rules to detect the above errors. For this purpose, we use an existing thesaurus KorLex, which is the Korean version of Princeton WordNet. KorLex has hierarchical word senses for nouns, but does not contain any information about the relationships between cases in a sentence. Through the Tree Cut Model and the MDL(minimum description length) model based on information theory, we extract noun classes from KorLex and generalize error decision rules from these noun classes. In order to verify the accuracy of the new method in an experiment, we extracted nouns used as an object of the four predicates usually confused from a large corpus, and subsequently extracted noun classes from these nouns. We found that the number of error decision rules generalized from these noun classes has decreased to about 64.8%. In conclusion, the precision of our grammar checker exceeds that of conventional ones by 6.2%.

The Variation of Prosody by Focus (의미의 강조에 의한 운율특징 -음향음성학적 관점에 의한 분석-)

  • Kim Seonhi
    • MALSORI
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    • no.40
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    • pp.51-63
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    • 2000
  • There are sentences where sentence stress is imposed on a specific word. These sentences are called 'focused sentences'. The purpose of this paper is to investigate the variation of pitch, duration, amplitude in focused words. It is noted that pitch of a focused word is higher than that of unfocused words irrespective of the accentual pattern, and that contour tones such as HL or LH are realized longer when these tones appear in focused words. Not only the noun but also the following particle like '-boda' is higher when these words are in focus. Hence pitch is proved to be the most salient prosodic feature of the focused sentence.

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Proper Noun Extraction Using Pattern Learning (패턴 학습을 이용한 고유명사 추출)

  • 김현준;김정화;강승식;우종우;윤보현
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10b
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    • pp.184-186
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    • 2001
  • 본 논문은 고유명사를 활용하여 특정 정보를 좀더 효율적으로 추출하기 위한 연구이며, Named Entity의 한 범주인 사람 이름에 대하여 어휘 사전이나 실마리 사전의 사용 없이 초기에 주어지는 몇 개의 인칭 명사들을 태그가 부착되지 않은 코퍼스에 적용시켜 고유명사 추출을 위한 패턴을 학습하고, 그 패턴을 적용하여 새로운 고유명사를 생성해 내는 작업을 통해 인칭 명사들을 효율적으로 추출할 수 있는 방법을 제안한다.

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Domain-specific Ontology Construction by Terminology Processing (전문용어의 처리에 의한 도메인 온톨로지의 구축)

  • 임수연;송무희;이상조
    • Journal of KIISE:Software and Applications
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    • v.31 no.3
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    • pp.353-360
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    • 2004
  • Ontology defines the terms used in a specific domain and the relationships between them and represents them as hierarchical taxonomy. The present paper proposes a semi-automatic domain-specific ontology construction method based on terminology Processing. For this purpose, it presents an algorithm to extract terminology according to the noun/suffix pattern of terminology in domain texts and find their hierarchical structure. The experiment was carried out using pharmacy-related documents. As singleton terminology with noun/suffix were identified, the average accuracy was 92.57%. In case of multi-word terminology, the average accuracy was 66.64%. The constructed ontology forms natural semantic clusters with based on suffices and semantic information, so can be utilized in approaches to specific knowledge such as information look-up or as the base of inference to improve searching abilities.