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Prethodno priopćenje
https://doi.org/10.31724/rihjj.46.2.27

Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling

Benedikt Perak ; Cultural Studies Department, Faculty of Humanities and Social Sciences, University of Rijeka
Tajana Ban Kirigin   ORCID icon orcid.org/0000-0003-3230-6891 ; Department of Mathematics, University of Rijeka

Puni tekst: engleski, pdf (8 MB) str. 957-996 preuzimanja: 4* citiraj
APA 6th Edition
Perak, B. i Ban Kirigin, T. (2020). Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling. Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, 46 (2), 957-996. https://doi.org/10.31724/rihjj.46.2.27
MLA 8th Edition
Perak, Benedikt i Tajana Ban Kirigin. "Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling." Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, vol. 46, br. 2, 2020, str. 957-996. https://doi.org/10.31724/rihjj.46.2.27. Citirano 25.11.2020.
Chicago 17th Edition
Perak, Benedikt i Tajana Ban Kirigin. "Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling." Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje 46, br. 2 (2020): 957-996. https://doi.org/10.31724/rihjj.46.2.27
Harvard
Perak, B., i Ban Kirigin, T. (2020). 'Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling', Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, 46(2), str. 957-996. https://doi.org/10.31724/rihjj.46.2.27
Vancouver
Perak B, Ban Kirigin T. Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling. Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje [Internet]. 2020 [pristupljeno 25.11.2020.];46(2):957-996. https://doi.org/10.31724/rihjj.46.2.27
IEEE
B. Perak i T. Ban Kirigin, "Corpus-Based Syntactic-Semantic Graph Analysis: Semantic Domains of the Concept Feeling", Rasprave: Časopis Instituta za hrvatski jezik i jezikoslovlje, vol.46, br. 2, str. 957-996, 2020. [Online]. https://doi.org/10.31724/rihjj.46.2.27

Sažetak
This research exemplifies the corpus-based graph approach to the syntactic-semantic analysis of a concept feeling using the Construction Grammar Conceptual network methodology. by constructing a lexical network from grammatically tagged collocations of the English and the Croatian web corpora, the structure of the semantic domains is revealed as a set of sub-graphs derived from the source lexeme’s friend-of-a-friend graph. the subgraph structures, calculated with the community detection algorithm, are interpreted as the semantic domains associated with the source lexeme’s conceptual matrix. lexical structures are analyzed using a centrality algorithm that determines the overall rank of the salience and semantic relatedness to the source concept feeling. this empirical approach can be used for developing NLP methods and tasks, such as computing semantic similarity, sense disambiguation, sense structuring, as well as for comparative corpus and cross-cultural studies. ConGraCnet has a web application on the page http://emocnet.uniri.hr/congracnet.

Ključne riječi
coordination; lexical graph analysis; emotions; centrality algorithm; community identification algorithm; corpus

Hrčak ID: 245479

URI
https://hrcak.srce.hr/245479

[hrvatski]

Posjeta: 7 *