Year: 2025
Type: article
Abstract: The relevance of textual analysis appears in numerous case studies across fields of social, business and academic communication. A central question in multilingual research is to develop a universal concept representation using a variety of models. Typologically different languages may have differing numbers of values for the same concept. There is an increased interest how typologically different languages encode morphology and syntax features across different layers. Language specific features as subject-verb agreement, flexibility of word order, morphological type require more parameters to represent. Crosslingual abstractions of morphosyntactic concepts serve as a basis for disentangling latent grammatical concepts across typologically diverse languages.
Author: Chuluundorj Begz
Institution: University of the Humanities
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414248149
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