The Tatar Language Semron Database as a Digital Linguistic Resource for Explainable Artificial Intelligence
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Abstract
The article considers the Tatar language semron database as a Digital linguistic resource intended for representing lexical and grammatical units of the Tatar language and for their use in explainable artificial intelligence. The basic unit of the database is the semron, understood as a potential meaning-forming unit described through its form, class, syntactic, semantic and pragmatic characteristics, valencies, corpus evidence, links to a knowledge graph and expert verification status. The article proposes a model for organizing the semron database, including the frame-based semron record, the distinction between the base frame of a semron and the specialized frame of a seiron, and the lifecycle of a database record. It is shown that such a database cannot be reduced to a dictionary, corpus, morphological analyzer or knowledge graph, since it performs an integrative function by linking the formal description of a linguistic unit with the conditions of its contextual semantic activation. The practical significance of the work lies in developing a model of a digital linguistic resource suitable for expert curation, machine processing, corpus-based validation, linkage with a knowledge graph and subsequent use in the Semiotic Generative Recognizing Model.
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References
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