• Title/Summary/Keyword: Syntactic Features

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Eojeol Syntactic Tag Prediction of Korean Text using Entropy Guided CRF (엔트로피 지도 CRF를 이용한 한국어 어절 구문태그 예측)

  • Oh, Jin-Young;Cha, Jeong-Won
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.5
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    • pp.395-399
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    • 2009
  • In this work, we describe the syntactic tag prediction system for Korean using the decision tree and CRFs. Generally they select features by their intuition. It depends on their prior knowledge. In this works, we combine features systematically using the decision tree. We also analyze errors and optimize features for the best performance. From the result of experiments, we can see that the proposed method is effective for the syntactic tag estimation and will be helpful for the syntactic analysis.

The Role of Semantic and Syntactic Knowledge in the First Language Acquisition of Korean Classifiers (언어의미(言語意味)와 통사지식(統辭知識)이 아동의 언어 발달에 미치는 역할 : 국어(國語) 분류사(分類詞) 습득(習得) 연구)

  • Lee, Kwee Ock
    • Korean Journal of Child Studies
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    • v.18 no.2
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    • pp.73-85
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    • 1997
  • The purpose of the present study was to examine the role of semantic and syntactic knowledge in the first language acquisition of Korean classifiers. The elicited classifiers production test(EPT) was conducted to 105 children aged from 2 to 7. EPT consisted of 16 classifiers and two items for each classifier. 32 items were divided into 2 major semantic features: animacy and inanimacy. The semantic features of inanimacy were subcategorized into 3 features such as neutral, shape and function. The results revealed that; 1) children produced the correct structure of classification from the very early age with correct word order of the noun phrase showing early fundamental syntactic knowledge; 2) The earliest response pattern was to respond to all nouns in the same way using a neutral classifier showing no apparent semantic basis for their choice; 3) Children didn't show any preference for animate, shape, or function classifiers.

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Korean Parsing Model using Various Features of a Syntactic Object (문장성분의 다양한 자질을 이용한 한국어 구문분석 모델)

  • Park So-Young;Kim Soo-Hong;Rim Hae-Chang
    • The KIPS Transactions:PartB
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    • v.11B no.6
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    • pp.743-748
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    • 2004
  • In this paper, we propose a probabilistic Korean parsing model using a syntactic feature, a functional feature, a content feature, and a site feature of a syntactic object for effective syntactic disambiguation. It restricts grammar rules to binary-oriented form to deal with Korean properties such as variable word order and constituent ellipsis. In experiments, we analyze the parsing performance of each feature combination. Experimental results show that the combination of different features is preferred to the combination of similar features. Besides, it is remarkable that the function feature is more useful than the combination of the content feature and the size feature.

Predicting CEFR Levels in L2 Oral Speech, Based on Lexical and Syntactic Complexity

  • Hu, Xiaolin
    • Asia Pacific Journal of Corpus Research
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    • v.2 no.1
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    • pp.35-45
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    • 2021
  • With the wide spread of the Common European Framework of Reference (CEFR) scales, many studies attempt to apply them in routine teaching and rater training, while more evidence regarding criterial features at different CEFR levels are still urgently needed. The current study aims to explore complexity features that distinguish and predict CEFR proficiency levels in oral performance. Using a quantitative/corpus-based approach, this research analyzed lexical and syntactic complexity features over 80 transcriptions (includes A1, A2, B1 CEFR levels, and native speakers), based on an interview test, Standard Speaking Test (SST). ANOVA and correlation analysis were conducted to exclude insignificant complexity indices before the discriminant analysis. In the result, distinctive differences in complexity between CEFR speaking levels were observed, and with a combination of six major complexity features as predictors, 78.8% of the oral transcriptions were classified into the appropriate CEFR proficiency levels. It further confirms the possibility of predicting CEFR level of L2 learners based on their objective linguistic features. This study can be helpful as an empirical reference in language pedagogy, especially for L2 learners' self-assessment and teachers' prediction of students' proficiency levels. Also, it offers implications for the validation of the rating criteria, and improvement of rating system.

Prediction of Prosodic Break Using Syntactic Relations and Prosodic Features (구문 관계와 운율 특성을 이용한 한국어 운율구 경계 예측)

  • Jung, Young-Im;Cho, Sun-Ho;Yoon, Ae-Sun;Kwon, Hyuk-Chul
    • Korean Journal of Cognitive Science
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    • v.19 no.1
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    • pp.89-105
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    • 2008
  • In this paper, we suggest a rule-based system for the prediction of natural prosodic phrase breaks from Korean texts. For the implementation of the rule-based system, (1) sentence constituents are sub-categorized according to their syntactic functions, (2) syntactic phrases are recognized using the dependency relations among sub-categorized constituents, (3) rules for predicting prosodic phrase breaks are created. In addition, (4) the length of syntactic phrases and sentences, the position of syntactic phrases in a sentence, sense information of contextual words have been considered as to determine the variable prosodic phrase breaks. Based on these rules and features, we obtained the accuracy over 90% in predicting the position of major break and no break which have high correlation with the syntactic structure of the sentence. As for the overall accuracy in predicting the whole prosodic phrase breaks, the suggested system shows Break_Correct of 87.18% and Juncture Correct of 89.27% which is higher than that of other models.

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Mechanical behaviour of a syntactic foam/glass fibre composite sandwich: experimental results

  • Papa, Enrico;Corigliano, Alberto;Rizzi, Egidio
    • Structural Engineering and Mechanics
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    • v.12 no.2
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    • pp.169-188
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    • 2001
  • This note presents the main results of an experimental investigation into the mechanical behaviour of a composite sandwich conceived as a lightweight material for naval engineering applications. The sandwich structure is formed by a three-dimensional glass fibre/polymer matrix fabric with transverse piles interconnecting the skins; the core is filled with a polymer matrix/glass microspheres syntactic foam; additional Glass Fibre Reinforced Plastics extra-skins are laminated on the external facings of the filled fabric. The main features of the experimental tests on syntactic foam, skins and sandwich panels are presented and discussed, with focus on both in-plane and out-of-plane responses. This work is part of a broader research investigation aimed at a complete characterisation, both experimental and numerical, of the complex mechanical behaviour of this composite sandwich.

A Comparison of Meter in Amoretti and Sonnets from the Portuguese (Amoretti와 Sonnets from the Portuguese의 율격 비교)

  • Sohn, Il-Kwon
    • MALSORI
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    • no.63
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    • pp.23-46
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    • 2007
  • The purpose of this paper is to compare linguistic features of meter in Amoretti and Sonnets from the Portuguese. Amoretti was composed in the 16th century and Sonnets from the Portuguese in the 19th century. Two poems are very strict in satisfying $^*<_I$(LS that makes a lexical stress matched on a strong position. But they allow a peaked monosyllabic word to be matched on a weak position only if it does not violate $^*(\dot{\sigma}\;{\sigma})$. Syntactic inversions which are found in two poems occur to satisfy metrical constraints and rhyme. Particularly, syntactic inversions for rhyme are mainly found in Amoretti, but are rare in Sonnets from the Portuguese which includes many enjambment lines. Furthermore, this paper shows that syntactic inversions can be explained by the interaction of constraints, such as metrical constraints, SCI, and Binary Foot.

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High Speed Korean Dependency Analysis Using Cascaded Chunking (다단계 구단위화를 이용한 고속 한국어 의존구조 분석)

  • Oh, Jin-Young;Cha, Jeong-Won
    • Journal of the Korea Society for Simulation
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    • v.19 no.1
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    • pp.103-111
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    • 2010
  • Syntactic analysis is an important step in natural language processing. However, we cannot use the syntactic analyzer in Korean for low performance and without robustness. We propose new robust, high speed and high performance Korean syntactic analyzer using CRFs. We treat a parsing problem as a labeling problem. We use a cascaded chunking for Korean parsing. We label syntactic information to each Eojeol at each step using CRFs. CRFs use part-of-speech tag and Eojeol syntactic tag features. Our experimental results using 10-fold cross validation show significant improvement in the robustness, speed and performance of long Korea sentences.

An Analysis of the Korean Modificatory and Conceptual Structure by a Syntactic Matrix (구문구조 Matrix에 의한 한국어의 수식구조와 개념구조의 해석)

  • 한광록;최장선;이주근
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.25 no.12
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    • pp.1639-1648
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    • 1988
  • This paper deals with an analyzing method of the Korean syntax to implement a natural language understanding system. A matrix of the syntactic structure is derived by the structural features of the Korean language. The modificatoty and conceptual structures are extracted from the matrix and the predicate logic form is expressed by extracting the phrase, clause and conceptual structure in the analyzing process. This logic form constructs an knowledge base of the sentence and proposes the possibility of the inference.

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