English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Opening the romance verbal inflection dataset 2.0: A CLDF lexicon

MPS-Authors
/persons/resource/persons247724

Beniamine,  Sacha
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

/persons/resource/persons247722

Round,  Erich
Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Supplementary Material (public)
There is no public supplementary material available
Citation

Beniamine, S., Maiden, M., & Round, E. (2020). Opening the romance verbal inflection dataset 2.0: A CLDF lexicon. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, et al. (Eds.), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) (pp. 3027-3035). Paris: European Language Resources Association (ELRA). doi:10.5281/zenodo.3611076.


Cite as: https://hdl.handle.net/21.11116/0000-0007-5A1D-5
Abstract
We introduce the Romance Verbal Inflection Dataset 2.0, a multilingual lexicon of Romance inflection covering 74 varieties. The lexicon provides verbal paradigm forms in broad IPA phonemic notation. Both lexemes and paradigm cells are organized to reflect cognacy. Such multi-lingual inflected lexicons annotated for two dimensions of cognacy are necessary to study the evolution of inflectional
paradigms, and test linguistic hypotheses systematically. However, these resources seldom exist, and when they do, they are not usually encoded in computationally usable ways. The Oxford Online Database of Romance Verb Morphology provides this kind of information, however, it is not maintained anymore and is only available as a web service without interfaces for machine-readability. We collect its data and clean and correct it for consistency using both heuristics and expert annotator judgements. Most resources used to study language evolution computationally rely strictly on multilingual contemporary information, and lack information about prior stages of the languages. To provide such information, we augmented the database with Latin paradigms from the LatInFlexi lexicon. Finally, to make it widely avalable, the resource is released under a GPLv3 license in CLDF format.