Cormac Anderson


2024

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The MOLOR Lemma Bank: a New LLOD Resource for Old Irish
Theodorus Fransen | Cormac Anderson | Sacha Beniamine | Marco Passarotti
Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024

This paper describes the first steps in creating a Lemma Bank for Old Irish (600-900CE) within the Linked Data paradigm, taking inspiration from a similar resource for Latin built as part of the LiLa project (2018–2023). The focus is on the extraction and RDF conversion of nouns from Goidelex, a novel and highly structured morphological resource for Old Irish. The aim is to strike a good balance between retaining a representative level of morphological granularity and at the same time keeping the amount of lemma variants within workable limits, to facilitate straightforward resource interlinking for Old Irish, planned as future work.

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Goidelex: A Lexical Resource for Old Irish
Cormac Anderson | Sacha Beniamine | Theodorus Fransen
Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024

We introduce Goidelex, a new lexical database resource for Old Irish. Goidelex is an openly accessible relational database in CSV format, linked by formal relationships. The launch version documents 695 headwords with extensive linguistic annotations, including orthographic forms using a normalised orthography, automatically generated phonemic transcriptions, and information about morphosyntactic features, such as gender, inflectional class, etc. Metadata in JSON format, following the Frictionless standard, provides detailed descriptions of the tables and dataset. The database is designed to be fully compatible with the Paralex and CLDF standards and is interoperable with existing lexical resources for Old Irish such as CorPH and eDIL. It is suited to both qualitative and quantitative investigation into Old Irish morphology and lexicon, as well as to comparative research. This paper outlines the creation process, rationale, and resulting structure of the database.