Typological Database

Typological databases compile linguistic features across numerous languages, aiming to quantify and visualize linguistic diversity for applications in natural language processing (NLP). Current research focuses on addressing inconsistencies and limitations in existing databases, particularly concerning the handling of missing data and the categorical nature of features, with efforts underway to develop more robust and continuous representations using techniques like multiple correspondence analysis and topological data analysis. Improved typological databases are crucial for advancing multilingual NLP, especially for low-resource languages, by providing more reliable and comprehensive information about linguistic structure.