@inproceedings{li-destri-etal-2026-handling,
title = "Handling Cross-Dialect Syntactic Variation: a Theory-Driven Web Resource",
author = "Li Destri, Emanuela and
Longhin, Marco and
Sorge, Gaia and
Ferroni, Sofia and
Matteazzi, Giovanni Battista and
Artioli, Andrea and
Carletti, Lorenzo and
Motta, Federico and
Longobardi, Giuseppe and
Guardiano, Cristina",
editor = "Anastasopoulos, Antonis and
Markantonatou, Stella and
Ralli, Angela and
Zampieri, Marcos and
Bompolas, Stavros and
Stamou, Vivian",
booktitle = "Proceedings of the First Workshop on Dialects in {NLP} {---} A Resource Perspective",
month = may,
year = "2026",
address = "Palma de Mallorca",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.dialres-1.7/",
doi = "10.63317/4x8k8si3eybn",
pages = "70--82",
abstract = "Cross-dialect syntactic variation tests the limits of comparative analysis, owing to the entanglement of inheritance and contact in dialect systems. Addressing this challenge requires analytical tools combining the theoretical depth of formal models of grammatical competence with quantitative taxonomic techniques. The Parametric Comparison Method (PCM) embodies this integration by quantifying structural similarity across grammars through the comparison of abstract syntactic rules. The method has been shown to achieve a good degree of resolution in dialectal domains, capturing subtle contrasts and yielding configurations aligning with phylogenetic expectations while remaining sensitive to contact-induced convergence. Fully assessing its effectiveness as a resource for the quantitative study of syntactic dialectology, however, requires an infrastructure that ensures systematic data collection, consistent parameter setting, and robust statistical evaluation across diverse datasets. The PCM Hub is a web-based resource designed for this purpose. It integrates guided elicitation, automated parameter-setting procedures, data management, and the computation of distances and automatic classifications within a unified environment. By standardizing the transition from raw linguistic observations to a structured, replicable empirical apparatus, the PCM Hub provides the practical and quantitative support necessary to test the power of the PCM across expanded comparative domains."
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%0 Conference Proceedings
%T Handling Cross-Dialect Syntactic Variation: a Theory-Driven Web Resource
%A Li Destri, Emanuela
%A Longhin, Marco
%A Sorge, Gaia
%A Ferroni, Sofia
%A Matteazzi, Giovanni Battista
%A Artioli, Andrea
%A Carletti, Lorenzo
%A Motta, Federico
%A Longobardi, Giuseppe
%A Guardiano, Cristina
%Y Anastasopoulos, Antonis
%Y Markantonatou, Stella
%Y Ralli, Angela
%Y Zampieri, Marcos
%Y Bompolas, Stavros
%Y Stamou, Vivian
%S Proceedings of the First Workshop on Dialects in NLP — A Resource Perspective
%D 2026
%8 May
%I Association for Computational Linguistics
%C Palma de Mallorca
%F li-destri-etal-2026-handling
%X Cross-dialect syntactic variation tests the limits of comparative analysis, owing to the entanglement of inheritance and contact in dialect systems. Addressing this challenge requires analytical tools combining the theoretical depth of formal models of grammatical competence with quantitative taxonomic techniques. The Parametric Comparison Method (PCM) embodies this integration by quantifying structural similarity across grammars through the comparison of abstract syntactic rules. The method has been shown to achieve a good degree of resolution in dialectal domains, capturing subtle contrasts and yielding configurations aligning with phylogenetic expectations while remaining sensitive to contact-induced convergence. Fully assessing its effectiveness as a resource for the quantitative study of syntactic dialectology, however, requires an infrastructure that ensures systematic data collection, consistent parameter setting, and robust statistical evaluation across diverse datasets. The PCM Hub is a web-based resource designed for this purpose. It integrates guided elicitation, automated parameter-setting procedures, data management, and the computation of distances and automatic classifications within a unified environment. By standardizing the transition from raw linguistic observations to a structured, replicable empirical apparatus, the PCM Hub provides the practical and quantitative support necessary to test the power of the PCM across expanded comparative domains.
%R 10.63317/4x8k8si3eybn
%U https://aclanthology.org/2026.dialres-1.7/
%U https://doi.org/10.63317/4x8k8si3eybn
%P 70-82
Markdown (Informal)
[Handling Cross-Dialect Syntactic Variation: a Theory-Driven Web Resource](https://aclanthology.org/2026.dialres-1.7/) (Li Destri et al., DialRes 2026)
ACL
- Emanuela Li Destri, Marco Longhin, Gaia Sorge, Sofia Ferroni, Giovanni Battista Matteazzi, Andrea Artioli, Lorenzo Carletti, Federico Motta, Giuseppe Longobardi, and Cristina Guardiano. 2026. Handling Cross-Dialect Syntactic Variation: a Theory-Driven Web Resource. In Proceedings of the First Workshop on Dialects in NLP — A Resource Perspective, pages 70–82, Palma de Mallorca. Association for Computational Linguistics.