Parallel text typology dataset

This repository contains data accompanying the following paper:

Neural models can sometimes discover typological generalizations. Computational Linguistics (2023) 49 (4): 1003–1051. https://doi.org/10.1162/coli_a_00491

It contains the following information for 1295 different languages:

• language vector representations from a range of neural models
• automatically derived lists of affixes
• automatically derived lists of inflectional paradigms
• typological features derived from annotation projection, and statistics on dependency relations
• typological features derived from classifiers trained on language vectors and typological databases
• automatically derived word lists
• data needed for automatic evaluation of language representations (code in separate repository)

Note that the multilingual word embeddings described in the paper are very large, and therefore distributed in a separate public repository.