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

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 Paral...

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Published in:Language Resources & Evaluation Vol. 59; no. 4; pp. 3555 - 3596
Main Authors: Pellegrini, Matteo, Passarotti, Marco, Mambrini, Francesco, Moretti, Giovanni
Format: Article
Published: Springer Nature Dec2025
Subjects:
Online Access:View this record in EBSCOhost
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          Pellegrini, Matteo
          Passarotti, Marco
          Mambrini, Francesco
          Moretti, Giovanni
        affil: https://ror.org/03h7r5v07 CIRCSE Research Centre, Università Cattolica del Sacro Cuore, Largo Agostino Gemelli 1, 20123, Milan, Italy
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        Latin language
        Knowledge base
        Morphosyntax
        Knowledge representation (Information theory)
        Morphology
        Knowledge graphs
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          Knowledge base
          Morphosyntax
          Knowledge representation (Information theory)
          Morphology
          Knowledge graphs
      keyword:
        Inflection
        Latin
        Linguistic Linked Open Data
        Paradigms
      ab: 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.
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    language: English
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