# Summary Universal Derivations version of CatVar, the Categorial Variation Database (https://clipdemos.umiacs.umd.edu/catvar/ and https://github.com/nizarhabash1/catvar). # Introduction CatVar is an automaticallyconstructed word-formation database of English derivationally related nouns, adjectives, verbs, and adverbs. Word-formation families were based on the morphological segmentation obtained from several morphological segmenters and the English part of CELEX. Some relations were also included from ADJADV (NomBank). CatVar has been harmonized automatically using Machine Learning method. # Acknowledgments We wish to thank all the developers and annotators of CatVar, including Nizar Habash and Bonnie Dorr. ## References As a citation for the resource in articles, please use this: * Habash, Nizar and Dorr, Bonnie. A Categorial Variation Database for English. In Proceedings of the North American Association for Computational Linguistics (NAACL'03), Edmonton, Canada, 2003, pp. 17--23. ``` @INPROCEEDINGS{CatVar, address = {Edmonton, Canada}, author = {Nizar Habash and Bonnie Dorr}, booktitle = {{Proceedings of the North American Association for Computational Linguistics (NAACL'03)}}, pages = {17--23}, title = {{A Categorial Variation Database for English}}, year = {2003} } ``` # License The resource is licensed under the Open Software License version 1.1 (OSL-1.1). License text is available in the file `LICENSE.txt`.
=== Machine-readable metadata ================================================= Resource: CatVar Language: English Authors: Habash, Nizar; Dorr, Bonnie License: OSL-1.1 Contact: https://clipdemos.umiacs.umd.edu/catvar/ ===============================================================================
=== Machine-readable metadata ================================================= Harmonized resource: CatVar Harmonized version: 2.1 Data source: https://raw.githubusercontent.com/nizarhabash1/catvar/master/catvar21.signed Data available since: UDer v1.0 Harmonization: automatic Common features: Morphological categories JSON features: was_in_family_with; other_parents Lemmas: 82675 Relations: 24628 Families: 58047 Singletons: 46140 Avarage tree size: 1.4 Avarage tree depth: 0.3 Avarage tree out-degree: 0.3 Maximum tree size: 18 Maximum tree depth: 6 Maximum tree out-degree: 11 Part-of-speech: ADJ, 24.4; ADV, 4.6; NOUN, 60.0; VERB, 11.1 Derivational relations: 24628 Conversion relations: 0 Compounding relations: 0 Variant relations: 0 ===============================================================================