The LiLa project consists in the creation of a Knowledge Base of linguistic resources for Latin based on the Linked Data framework and aimed at reaching interoperability between them. To this goal, LiLa integrates all types of annotation applied to a particular word/text into a common representation where all linguistic information conveyed by a specific linguistic resource becomes accessible. The recent inclusion in the Knowledge Base of information on word formation raised a number of theoretical and practical issues concerning its treatment and representation. This paper discusses such issues, presents how they were addressed in the project and describes a number of use-case scenarios that employ the information on word formation made available in the LiLa Knowledge Base.
Litta Modignani Picozzi, E. M. G., Passarotti, M. C., Mambrini, F., The Treatment of Word Formation in the LiLa Knowledge Base of Linguistic Resources for Latin, in Proceedings of the Second International Workshop on Resources and Tools for Derivational Morphology (DeriMo 2019). 19-20 September 2019, Prague, Czechia, (Prague, Czech Republic, 19-20 September 2019), Institute of Formal and Applied Linguistics, Charles University in Prague, Prague, Czech Republic 2019: 35-43 [http://hdl.handle.net/10807/142058]
The Treatment of Word Formation in the LiLa Knowledge Base of Linguistic Resources for Latin
Litta Modignani Picozzi, Eleonora Maria Gabriella;Passarotti, Marco Carlo;Mambrini, Francesco
2019
Abstract
The LiLa project consists in the creation of a Knowledge Base of linguistic resources for Latin based on the Linked Data framework and aimed at reaching interoperability between them. To this goal, LiLa integrates all types of annotation applied to a particular word/text into a common representation where all linguistic information conveyed by a specific linguistic resource becomes accessible. The recent inclusion in the Knowledge Base of information on word formation raised a number of theoretical and practical issues concerning its treatment and representation. This paper discusses such issues, presents how they were addressed in the project and describes a number of use-case scenarios that employ the information on word formation made available in the LiLa Knowledge Base.
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