MoCCA: A Model of Comparative Concepts for Aligning Constructicons
Paper i 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.

Författare

Peter Ljunglöf

Chalmers, Data- och informationsteknik, Funktionell programmering

Benjamin Lyngfelt

Göteborgs universitet

Tiago Timponi Torrent

Universidade Federal de Juiz de Fora

William Croft

University of New Mexico

Alexander Ziem

Heinrich Heine Universität Düsseldorf

Nina Böbel

Heinrich Heine Universität Düsseldorf

Linnéa Bäckström

Högskolan i Halmstad

Peter Uhrig

Friedrich-Alexander-Universität Erlangen Nurnberg (FAU)

Ely Matos

Universidade Federal de 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,

Ämneskategorier

Språkteknologi (språkvetenskaplig databehandling)

Jämförande språkvetenskap och allmän lingvistik

Mer information

Skapat

2024-10-24