MoCCA: A Model of Comparative Concepts for Aligning Constructicons
Paper in proceeding, 2024

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.

Author

Peter Ljunglöf

Chalmers, Computer Science and Engineering (Chalmers), Functional Programming

Benjamin Lyngfelt

University of Gothenburg

Tiago Timponi Torrent

Federal University of Juiz de Fora

William Croft

University of New Mexico

Alexander Ziem

Heinrich Heine University Düsseldorf

Nina Böbel

Heinrich Heine University Düsseldorf

Linnéa Bäckström

Halmstad University

Peter Uhrig

University of Erlangen-Nuremberg (FAU)

Ely Matos

Federal University of Juiz de Fora

Proceedings of the 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @LREC-COLING-2024

2522-2686 (ISSN)


978-2-493814-32-6 (ISBN)

20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation @LREC-COLING-2024
Torino, Italy,

Subject Categories

Language Technology (Computational Linguistics)

General Language Studies and Linguistics

More information

Created

10/24/2024