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2024 (English)In: ISA 2024: 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation at LREC-COLING 2024, Workshop Proceedings / [ed] Harry Bunt; Nancy Ide; Kiyong Lee; Volha Petukhova; James Pustejovsky; Laurent Romary, European Language Resources Association, 2024, p. 93-98Conference paper, Published paper (Refereed)
Abstract [en]
This paper presents MoCCA, a Model of Comparative Concepts for Aligning Constructicons under development by a consortium of research groups building Constructicons of different languages including Brazilian Portuguese, English, German and Swedish. The Constructicons will be aligned by using comparative concepts (CCs) providing language-neutral definitions of linguistic properties. The CCs are drawn from typological research on grammatical categories and constructions, and from FrameNet frames, organized in a conceptual network. Language-specific constructions are linked to the CCs in accordance with general principles. MoCCA is organized into files of two types: a largely static CC Database file and multiple Linking files containing relations between constructions in a Constructicon and the CCs. Tools are planned to facilitate visualization of the CC network and linking of constructions to the CCs. All files and guidelines will be versioned, and a mechanism is set up to report cases where a language-specific construction cannot be easily linked to existing CCs. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Place, publisher, year, edition, pages
European Language Resources Association, 2024
Keywords
comparative concepts, constructicon, construction
National Category
General Language Studies and Linguistics
Research subject
Smart Cities and Communities, TRAINS
Identifiers
urn:nbn:se:hh:diva-53805 (URN)2-s2.0-85195210438 (Scopus ID)9782493814326 (ISBN)
Conference
20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA 2024), Torino, Italy, 20 May, 2024
Note
Funding: Authors acknowledge the support of the Graduate Program in Linguistics at the Federal University of Juiz de Fora. Research collaboration leading to MoCCA was funded by CAPES/STINT grant 99999.009910/2014-00 and CAPES/PROBRAL grant 88887.144043/2017-00. Lorenzi's research was funded by CAPES PROBRAL PhD exchange grant 88887.628831/2021-00 and CAPES PROEX PhD Grant 88887.816228/2023-00. Torrent is an awardee of the CNPq Research Productivity Grant number 315749/2021-0.
2024-06-142024-06-142024-06-19Bibliographically approved