Call for Papers

Quantitative syntax analysis benefits from the thriving availability of structured language data in the (computational) linguistics field and the growing popularity of statistical methods within the linguistic community. Despite the rapid development of Corpus and Treebanks, the full linguistic potential of combining such structured data with statistical methods remains unexplored. QUASY 2025 responds to the growing need for linguistic meetings dedicated to quantitative syntax analysis and theorizing based on empirical data. The meeting is held under the auspices of the International Quantitative Linguistics Association (IQLA).

Topics

Topics include but are not limited to:

• Descriptions of all aspects of syntax-related phenomena, including but not limited to psycholinguistics, sociolinguistics, language typology, language acquisition, stylometry, translation, etc., as far as they use quantitative methods based on empirical language data.
• Methods to explore and analyze corpora, treebanks, or any other empirical data which serve syntax analysis.
• Theoretical studies based on syntax data (hypothesis testing).
• Investigations into interrelations among syntactic factors.
• Discussions about linguistic units or the impact of annotation styles in syntax analysis.
• Syntactic structures (tree structures, valency structures, etc.) and their distributions.
• Syntax modeling and its applications.
• Word order investigations.
• AI-driven approaches to syntactic analysis, including the use of machine learning to identify patterns in large language datasets.

Important Dates

More information and links to the workshop calls will be provided later, so we invite you to stay tuned for upcoming announcements.