Unifying Morphology Resources with OntoLex-Morph. A Case Study in German

Christian Chiarcos, Christian Fäth, Maxim Ionov


Abstract
The OntoLex vocabulary has become a widely used community standard for machine-readable lexical resources on the web. The primary motivation to use OntoLex in favor of tool- or application-specific formalisms is to facilitate interoperability and information integration across different resources. One of its extension that is currently being developed is a module for representing morphology, OntoLex-Morph. In this paper, we show how OntoLex-Morph can be used for the encoding and integration of different types of morphological resources on a unified basis. With German as the example, we demonstrate it for (a) a full-form dictionary with inflection information (Unimorph), (b) a dictionary of base forms and their derivations (UDer), (c) a dictionary of compounds (from GermaNet), and (d) lexicon and inflection rules of a finite-state parser/generator (SMOR/Morphisto). These data are converted to OntoLex-Morph, their linguistic information is consolidated and corresponding lexical entries are linked with each other.
Anthology ID:
2022.lrec-1.518
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4842–4850
Language:
URL:
https://aclanthology.org/2022.lrec-1.518
DOI:
Bibkey:
Cite (ACL):
Christian Chiarcos, Christian Fäth, and Maxim Ionov. 2022. Unifying Morphology Resources with OntoLex-Morph. A Case Study in German. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4842–4850, Marseille, France. European Language Resources Association.
Cite (Informal):
Unifying Morphology Resources with OntoLex-Morph. A Case Study in German (Chiarcos et al., LREC 2022)
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PDF:
https://aclanthology.org/2022.lrec-1.518.pdf