Using Markedness Principle for Abstraction of Dependency Relations of Natural Languages
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| Title: | Using Markedness Principle for Abstraction of Dependency Relations of Natural Languages |
|---|---|
| Language: | English |
| Authors: | Kim, Ju-Ri |
| Source: | Eurasian Journal of Applied Linguistics. 2021 7(2):58-67. |
| Availability: | Eurasian Journal of Applied Linguistics. Canakkale Onsekiz Mart University, Anafartalar Campus Faculty of Education Department of Foreign Language Education, Canakkale 07100, Turkey. e-mail: editor@ejal.info; Website: https://www.ejal.info/index.php/ejal |
| Peer Reviewed: | Y |
| Page Count: | 10 |
| Publication Date: | 2021 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Grammar, Correlation, Syntax, Classification, Graphs, Language Research, Natural Language Processing, Structural Analysis (Linguistics), Morphemes, Form Classes (Languages) |
| ISSN: | 2149-1135 |
| Abstract: | Background/Objectives: There is no attempt to investigate the relationships between dependency and markedness even though the syntactic roles in language are decided by dependency relations and markers. The main objective of this study was to understand markedness beyond syntactical tables and propose a syntax graph with various syntax structures to verify the relationship between dependence of proposed markers. Methods/Statistical analysis: The methodology involved enquiry into the origin and development of dependency relations, starting from their definition, abstraction, and usage in syntactic structures through graphical presentations. Findings: This study revealed that dependency relations denoted by the markers can be classified into two types of dependencies according to their syntactic functions: implicit and explicit. Eventually, this markedness can be presented through syntax graphs of various syntactic structures to validate the functions of the markers and dependency relations. Improvements/Applications: This paper presents a reasonable method to define dependency relations based on the markedness and the valence theory of the predicate. This approach provides a systematic view to define dependency relations for natural language processing. The implementation of syntax graphs is a future research project. |
| Abstractor: | As Provided |
| Entry Date: | 2021 |
| Accession Number: | EJ1312194 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1312194 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Using Markedness Principle for Abstraction of Dependency Relations of Natural Languages – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Ju-Ri%22">Kim, Ju-Ri</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Eurasian+Journal+of+Applied+Linguistics%22"><i>Eurasian Journal of Applied Linguistics</i></searchLink>. 2021 7(2):58-67. – Name: Avail Label: Availability Group: Avail Data: Eurasian Journal of Applied Linguistics. Canakkale Onsekiz Mart University, Anafartalar Campus Faculty of Education Department of Foreign Language Education, Canakkale 07100, Turkey. e-mail: editor@ejal.info; Website: https://www.ejal.info/index.php/ejal – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 10 – Name: DatePubCY Label: Publication Date Group: Date Data: 2021 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Grammar%22">Grammar</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Syntax%22">Syntax</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Graphs%22">Graphs</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Research%22">Language Research</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+Language+Processing%22">Natural Language Processing</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+Analysis+%28Linguistics%29%22">Structural Analysis (Linguistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Morphemes%22">Morphemes</searchLink><br /><searchLink fieldCode="DE" term="%22Form+Classes+%28Languages%29%22">Form Classes (Languages)</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2149-1135 – Name: Abstract Label: Abstract Group: Ab Data: Background/Objectives: There is no attempt to investigate the relationships between dependency and markedness even though the syntactic roles in language are decided by dependency relations and markers. The main objective of this study was to understand markedness beyond syntactical tables and propose a syntax graph with various syntax structures to verify the relationship between dependence of proposed markers. Methods/Statistical analysis: The methodology involved enquiry into the origin and development of dependency relations, starting from their definition, abstraction, and usage in syntactic structures through graphical presentations. Findings: This study revealed that dependency relations denoted by the markers can be classified into two types of dependencies according to their syntactic functions: implicit and explicit. Eventually, this markedness can be presented through syntax graphs of various syntactic structures to validate the functions of the markers and dependency relations. Improvements/Applications: This paper presents a reasonable method to define dependency relations based on the markedness and the valence theory of the predicate. This approach provides a systematic view to define dependency relations for natural language processing. The implementation of syntax graphs is a future research project. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2021 – Name: AN Label: Accession Number Group: ID Data: EJ1312194 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 58 Subjects: – SubjectFull: Grammar Type: general – SubjectFull: Correlation Type: general – SubjectFull: Syntax Type: general – SubjectFull: Classification Type: general – SubjectFull: Graphs Type: general – SubjectFull: Language Research Type: general – SubjectFull: Natural Language Processing Type: general – SubjectFull: Structural Analysis (Linguistics) Type: general – SubjectFull: Morphemes Type: general – SubjectFull: Form Classes (Languages) Type: general Titles: – TitleFull: Using Markedness Principle for Abstraction of Dependency Relations of Natural Languages Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Ju-Ri IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 2149-1135 Numbering: – Type: volume Value: 7 – Type: issue Value: 2 Titles: – TitleFull: Eurasian Journal of Applied Linguistics Type: main |
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