Olga Pelloni


2022

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TeDDi Sample: Text Data Diversity Sample for Language Comparison and Multilingual NLP
Steven Moran | Christian Bentz | Ximena Gutierrez-Vasques | Olga Pelloni | Tanja Samardzic
Proceedings of the Thirteenth Language Resources and Evaluation Conference

We present the TeDDi sample, a diversity sample of text data for language comparison and multilingual Natural Language Processing. The TeDDi sample currently features 89 languages based on the typological diversity sample in the World Atlas of Language Structures. It consists of more than 20k texts and is accompanied by open-source corpus processing tools. The aim of TeDDi is to facilitate text-based quantitative analysis of linguistic diversity. We describe in detail the TeDDi sample, how it was created, data availability, and its added value through for NLP and linguistic research.