Dear Apertium community, As part of the European H2020 Prêt-à-LLOD project <http://www.pret-a-llod.eu/>, we at University of Zaragoza and Goethe University Frankfurt have been working on a new version of the Apertium family of dictionaries in *RDF*, with the final aim of making the Apertium data available as a unified graph <https://ndownloader.figshare.com/files/25001570/preview/25001570/preview.jpg> of linked dictionaries on the Web, making it easily re-usable for other tasks beyond machine translation.
To address the heterogeneity of *morphosyntactic tags *used in Apertium we have created an initial manual *mapping of the Apertim tags to the LexInfo category registry <https://lexinfo.net/ontology/2.0/lexinfo.owl> and to the Universal Dependencies POS tagset <https://universaldependencies.org/u/pos/>*. Such a mapping not only will allow to ease the linking of lexical content of Apertium to external resources, but it will also enable to homogeneously query Apertium lexica that originally used diverse tagsets. This mapping is compliant with Apertium's List of symbols <https://wiki.apertium.org/wiki/List_of_symbols> and includes tags absent there but identified during the tag extraction. Since many of the tags in the source data were specific to the language, and not all of them were accompanied by a proper description, the mappings may contain errors. We are thus turning to the *Apertium community *to share our work and to jointly *curate such a mapping table*. Our final goal is to build a table of mappings as semantically fine-grained as possible. We are sure that this can be beneficial for the Apertium community for other tasks beyond the RDF conversion. The mapping is available at https://github.com/sid-unizar/apertium-lexinfo-mapping, where you can find the mapping files, downloadable as CSV <https://github.com/sid-unizar/apertium-lexinfo-mapping/blob/master/apertium-lexinfo-tags-mapping.csv> and TSV <https://github.com/sid-unizar/apertium-lexinfo-mapping/blob/master/apertium-lexinfo-tags-mapping.tsv>, details of the methodology followed, as well as additional documentation. If you are interested in helping us identify errors, or want to provide your expertise and insights in the interpretation of these tags, please do not hesitate to contact our colleague Julia Bosque-Gil (in cc) or to open a new issue in the GitHub repository mentioned above. Best regards, -- Jorge Gracia, PhD Department of Computer Science and Systems Engineering / Aragon Institute of Engineering Research (I3A) University of Zaragoza http://jogracia.url.ph/web/
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