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On (In)Sensitivity by Two-Way Restarting Automata

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10389093" target="_blank" >RIV/00216208:11320/18:10389093 - isvavai.cz</a>

  • Result on the web

    <a href="http://ceur-ws.org/Vol-2203/10.pdf" target="_blank" >http://ceur-ws.org/Vol-2203/10.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On (In)Sensitivity by Two-Way Restarting Automata

  • Original language description

    We study h-lexicalized two-way restarting automaton (hRLWW(i)) that can rewrite at most i times per cycle, for i GREATER-THAN OR EQUAL TO 1. This model is useful for the study of lexical syntactic disambiguation (a notion from linguistic) through the formal notion of h-lexicalized syntactic analysis (hLSA). The hLSA is composed of a basic language and the corresponding h-proper language obtained from the basic language by mapping all non-input symbols on input symbols. We compare the properties of input languages, which are the languages traditionally considered in automata theory, to the properties of hLSA, i.e., to the properties of basic and h-proper languages. The basic and h-proper languages of hRLWW(i)- automata fulfill the so called reduction correctness preserving property, but the input languages do not. While basic and h-proper languages are sensitive to the size of the read/write window, the input languages are not. Moreover, the basic and h-proper languages are sensitive to the number of rewrite steps per cycle. All that concerns a subclass of context-sensitive languages containing all contextfree languages (and most probably also the class of mildly context-sensitive languages [5]), i.e., a class suitable for studying and classifying syntactic and semantic features of natural languages. We work here also with the parametrized constraint of monotonicity. While using the monotonicity of degree one we can characterize the class of context-free languages, the monotonicity of higher degrees can model more complex syntactic phenomena of whole natural languages (like cross-serial dependencies [5]). Finally, we stress the constraint of weak cyclic form. It preserves the power of hRLWW(i)-automata, and it allows to extend the complexity results obtained for the classes of infinite languages also into the classes of finite languages (parametrized by the number of performed cycles). It is useful for classifications in computational and corpus linguistics, where all the (syntactic) observation are of the finite nature. The main technical novelty of the paper are the results about the sensitivity and insensivity of finite and infinite hLSA and corresponding languages by hRLWW(i)- automata.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    CEUR Workshop Proceedings Vol. 2203

  • ISBN

    978-1-72726-719-8

  • ISSN

    1613-0073

  • e-ISSN

    neuvedeno

  • Number of pages

    8

  • Pages from-to

    10-17

  • Publisher name

    Univerzita P. J. Šafárika

  • Place of publication

    Košice

  • Event location

    Krompachy

  • Event date

    Sep 21, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article