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

Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 4842–4850 Marseille, 20-25 June 2022 © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0 4842 Unifying Morphology Resources with OntoLex-Morph. A Case Study in German Christian Chiarcos, Christian F¨ath, Maxim Ionov Applied Computational Linguistics (ACoLi) Goethe University Frankfurt, Germany {chiarcos|faeth|ionov}@cs.uni-frankfurt.de 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 correspond- ing lexical entries are linked with each other. The main contribution of this paper is the discussion of the current state of OntoLex-Morph and its validation on different types of real-world resources for a single language. In the longer term, the successful application of OntoLex-Morph to such diverse data, along with the adjustments to the vocabulary observed in the process, will be a means to establish interoperability among morphological resources as well as between them and classical lexical data such as dictionaries, WordNets, or thesauri. Keywords: morphology, OntoLex, Linguistic Linked Open Data 1. Background OntoLex1 is a widely used community standard for publishing lexical resources as RDF data, as well as to link them with knowledge graphs, ontologies or other lexical data sets. With the publication of language re- sources on the web and using resolvable URIs to iden- tify concepts, entities and relations, information from different sources can be more easily integrated and interlinked with each other, hence the term ‘Linked Data’ (Berners-Lee, 2009), and in the language re- source community, the application of OntoLex to an in- creasing amount of lexical data has been a key element in the recent development of Linguistic Linked Open Data technology (Cimiano et al., 2020), e.g., in the Eu- ropean projects ELEXIS and Pret-a-LLOD (Krek et al., 2019). The OntoLex core module provides fundamental data structures for lexical resources, most notably lexical entries, lexical forms and lexical senses, and beyond that, the data structures of the OntoLex core module al- ready provides vocabulary to represent morphological information, but limited to complementing lexical en- tries with a morphosyntactic categories such as part of speech, and individual forms with different agreement features such as gender, case, number, etc. In addition to that, the decomp: module of On- toLex is relevant to certain aspects of morphology, however, it is primarily concerned with …

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