In this paper, we present PrinParLat, a new resource listing the principal parts of Latin verbs—i.e., a set of forms from which the full paradigm can be obtained—as well as a fine-grained classification of their inflectional behavior. The resource is released both as a set of .csv tables in the Paralex standard format, and as RDF data linked to the LiLa Knowledge Base of interoperable resources for Latin. After introducing the notions of theoretical morphology of which this resource makes crucial use to be able to code complex morphological information in a compact way, the details of the procedure followed to obtain the data are outlined, as well as the modelling decisions taken regarding knowledge representation. The outcome of our work is evaluated by performing both an intrinsic evaluation of the data in the resource, and an extrinsic evaluation of their added value in the larger ecosystem of the LiLa Knowledge Base.

Pellegrini, M., Passarotti, M. C., Mambrini, F., Moretti, G., PrinParLat: a lexicon of principal parts of Latin verbs linked to the LiLa Knowledge Base, <<LANGUAGE RESOURCES AND EVALUATION>>, 2025; (N/A): 1-41. [doi:10.1007/s10579-025-09847-y] [https://hdl.handle.net/10807/317416]

PrinParLat: a lexicon of principal parts of Latin verbs linked to the LiLa Knowledge Base

Pellegrini, Matteo;Passarotti, Marco Carlo;Mambrini, Francesco;Moretti, Giovanni
2025

Abstract

In this paper, we present PrinParLat, a new resource listing the principal parts of Latin verbs—i.e., a set of forms from which the full paradigm can be obtained—as well as a fine-grained classification of their inflectional behavior. The resource is released both as a set of .csv tables in the Paralex standard format, and as RDF data linked to the LiLa Knowledge Base of interoperable resources for Latin. After introducing the notions of theoretical morphology of which this resource makes crucial use to be able to code complex morphological information in a compact way, the details of the procedure followed to obtain the data are outlined, as well as the modelling decisions taken regarding knowledge representation. The outcome of our work is evaluated by performing both an intrinsic evaluation of the data in the resource, and an extrinsic evaluation of their added value in the larger ecosystem of the LiLa Knowledge Base.
2025
Inglese
Pellegrini, M., Passarotti, M. C., Mambrini, F., Moretti, G., PrinParLat: a lexicon of principal parts of Latin verbs linked to the LiLa Knowledge Base, <<LANGUAGE RESOURCES AND EVALUATION>>, 2025; (N/A): 1-41. [doi:10.1007/s10579-025-09847-y] [https://hdl.handle.net/10807/317416]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/317416
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