Basket

  1. 1.
    0517855 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
    Plátek, Martin - Mráz, F. - Pardubská, D.
    Lexically Syntactic Characterization by Restarting Automata.
    ITAT 2019: Information Technologies – Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2019 - (Barančíková, P.; Holeňa, M.; Horváth, T.; Pleva, M.; Rosa, R.), s. 104-111. CEUR Workshop Proceeding, 2473. ISSN 1613-0073.
    [ITAT 2019: Conference Information Technologies - Applications and Theory /19./. Donovaly (SK), 20.09.2019-24.09.2019]
    R&D Projects: GA ČR(CZ) GA19-05704S
    Institutional support: RVO:67985807
    Keywords : Restarting automaton * lexicalized syntax * correctness preserving property
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://ceur-ws.org/Vol-2473/paper1.pdf
    Permanent Link: http://hdl.handle.net/11104/0303106
    FileDownloadSizeCommentaryVersionAccess
    0517855-aw.pdf1454.5 KBvolně online, CC BY 4.0Publisher’s postprintopen-access
     
     

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.