Počet záznamů: 1  

Lexicalized Syntactic Analysis by Two-Way Restarting Automata

  1. 1.
    0517853 - ÚI 2023 RIV DE eng J - Článek v odborném periodiku
    Mráz, F. - Otto, F. - Pardubská, D. - Plátek, Martin
    Lexicalized Syntactic Analysis by Two-Way Restarting Automata.
    Journal of Automata, Languages and Combinatorics. Roč. 26, 1-2 (2021), s. 145-171. ISSN 1430-189X. E-ISSN 2567-3785
    Grant CEP: GA ČR(CZ) GA19-05704S
    Institucionální podpora: RVO:67985807
    Klíčová slova: analysis by reduction * two-way restarting automaton * h-lexicalization * contextually transparent language * mildly context-sensitive language
    Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Způsob publikování: Omezený přístup
    http://dx.doi.org/10.25596/jalc-2021-145

    We study h-lexicalized two-way restarting automata that can rewrite at most i times per cycle for some i >= 1 (hRLWW(i)-automata). This model is useful for the study of lexical (syntactic) disambiguation, which is a concept from linguistics that is based on certain reduction patterns. We study lexical disambiguation through the formal notion of h-lexicalized syntactic analysis (hLSA). The hLSA is a relation between a basic language and the corresponding h-proper language, which is obtained from the basic language by mapping all basic symbols to input symbols. We stress the sensitivity of hLSA by hRLWW(i)-automata to the size of the window, the number of possible rewrites per cycle, and the degree of (non-)monotonicity of these automata. We introduce the concepts of contextually transparent languages and contextually transparent lexicalized analyses based on very special reduction patterns, and we present two-dimensional hierarchies of their subclasses based on the size of window and on the degree of monotonicity. The bottoms of these hierarchies correspond to the regular and the context-free languages. The class of contextually transparent languages forms a proper subclass of the class of context-sensitive languages with syntactically natural properties.
    Trvalý link: http://hdl.handle.net/11104/0303102

     
     
Počet záznamů: 1  

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