The Athens Digital Glossa Chronos (AthDGC) project is a comprehensive computational pipeline for analyzing verb valency patterns (argument structures) through crosslinguistic contrastive and comparative analysis. Using state-of-the-art NLP tools and automated linguistic annotation, we process a huge number of parallel texts, including influential and representative texts, retranslations, and retellings, to track how verbs change their syntactic behavior over time.
The project develops corpus-based valency lexicons for ancient and medieval languages using innovative computational methods integrated with traditional philological expertise, enabling robust diachronic linguistic analysis across multiple language families and historical periods.
Funded by the Hellenic Foundation for Research and Innovation (HFRI) at the National and Kapodistrian University of Athens. Prof. Nikolaos Lavidas.
Nikolaos Lavidas, Kiki Nikiforidou, Vassiliki Geka, Vassileios Symeonidis, Sofia Chionidi, Anastasia Tsiropina, Eleni Plakoutsi, Theodoros Michalareas, Evangelos Argyropoulos
National and Kapodistrian University of Athens
The project's main findings are published in the edited volume:
Genres, Influential Texts and Language Change: Exploring Cross-Fertilising Effects
Berlin: De Gruyter Mouton
This volume explores how genres and influential texts shape language change through cross-linguistic and diachronic perspectives, bringing together computational methods and philological expertise.
Huge number of influential and representative texts with retranslations and retellings
Contrastive and comparative approach across multiple language families
Stanza NLP toolkit for morphosyntactic analysis
CoNLL-U, PROIEL, Penn-Helsinki formats
Automated argument structure identification
Statistical analysis of language change patterns
Corpora and Diachrony: Influential Texts, Text Types and Genres
Diachronic Linguistics: Comparing Diachronies
Diachronic Linguistics in the 21st Century
Language Contact and Diachronic Change Studies
Computational Linguistics Research
Historical Text
Analysis
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