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Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00132397" target="_blank" >RIV/00216224:14330/23:00132397 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fi.muni.cz/usr/sojka/papers/sojka-sojka-raslan-2023.pdf" target="_blank" >https://www.fi.muni.cz/usr/sojka/papers/sojka-sojka-raslan-2023.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development

  • Original language description

    Finding space- and time-effective even <em>perfect</em> solution to the dictionary problem is an important practical and research problem, which solving may lead to a breakthrough in computation. Competing pattern technology from TeX is a special case, where for a given dictionary a word segmentation is stored in the competing patterns yet with very good generalization quality. Recently, the unreasonable effectiveness of pattern generation has been shown---it is possible to use hyphenation patterns to solve the dictionary problem jointly even for several languages without compromise. <p> In this article, we study the effectiveness of <tt>patgen</tt> for the supervised machine learning of the generation of the Czechoslovak hyphenation patterns. We show the machine learning techniques to develop competing patterns that are close to being perfect. We evaluate the new approach by improvements and space savings we gained during the development and finetuning of Czechoslovak hyphenation patterns.</p>

  • 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

    <a href="/en/project/LM2023062" target="_blank" >LM2023062: Digital Research Infrastructure for Language Technologies, Arts and Humanities</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Recent Advances in Slavonic Natural Language Processing (RASLAN 2023)

  • ISBN

    9788026317937

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    113-120

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Kouty nad Desnou

  • Event date

    Dec 8, 2023

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article