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A Roadmap for Universal Syllabic Segmentation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00132504" target="_blank" >RIV/00216224:14330/23:00132504 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5300/2023-3-4/125" target="_blank" >https://doi.org/10.5300/2023-3-4/125</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5300/2023-3-4/125" target="_blank" >10.5300/2023-3-4/125</a>

Alternative languages

  • Result language

    čeština

  • Original language name

    A Roadmap for Universal Syllabic Segmentation

  • Original language description

    Space- and time-effective segmentation (word hyphenation) of natural languages remains at the core of every document rendering system, be it TeX, web browser, or mobile operating system. In most languages, segmentation mimicking syllabic pronunciation is a pragmatic preference today. <p> As language switching is often not marked in rendered texts, the typesetting engine needs <i>universal syllabic segmentation</i>. In this article, we show the feasibility of this idea by offering a prototype solution to two main problems:<br /> A) Using <tt>Patgen</tt> to generate patterns for several languages at once; and<br /> B) lack of Unicode support in tools like <tt>Patgen</tt> or TeX (patterns in UTF-16 encoding) is missing. </p> <p> For A), we have applied it to generating universal syllabic patterns from wordlists of nine syllabic, as opposed to etymology-based, languages (namely, Czech, Slovak, Georgian, Greek, Polish, Russian, Turkish, Turkmen, and Ukrainian).<br /> For B), we have created a version of <tt>Patgen</tt> that uses the <a href="https://en.wikipedia.org/wiki/Judy_array"> Judy array</a> data structure and compared its effectiveness with the trie implementation. </p> <p> With the data from these nine languages, we show that:<br /> A) developing universal, up-to-date, high-coverage, and highly generalized universal syllabic segmentation patterns is possible, with a high impact on virtually all typesetting engines, including web page renderers; and<br /> B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using Judy arrays.</p>

  • Czech name

    A Roadmap for Universal Syllabic Segmentation

  • Czech description

    Space- and time-effective segmentation (word hyphenation) of natural languages remains at the core of every document rendering system, be it TeX, web browser, or mobile operating system. In most languages, segmentation mimicking syllabic pronunciation is a pragmatic preference today. <p> As language switching is often not marked in rendered texts, the typesetting engine needs <i>universal syllabic segmentation</i>. In this article, we show the feasibility of this idea by offering a prototype solution to two main problems:<br /> A) Using <tt>Patgen</tt> to generate patterns for several languages at once; and<br /> B) lack of Unicode support in tools like <tt>Patgen</tt> or TeX (patterns in UTF-16 encoding) is missing. </p> <p> For A), we have applied it to generating universal syllabic patterns from wordlists of nine syllabic, as opposed to etymology-based, languages (namely, Czech, Slovak, Georgian, Greek, Polish, Russian, Turkish, Turkmen, and Ukrainian).<br /> For B), we have created a version of <tt>Patgen</tt> that uses the <a href="https://en.wikipedia.org/wiki/Judy_array"> Judy array</a> data structure and compared its effectiveness with the trie implementation. </p> <p> With the data from these nine languages, we show that:<br /> A) developing universal, up-to-date, high-coverage, and highly generalized universal syllabic segmentation patterns is possible, with a high impact on virtually all typesetting engines, including web page renderers; and<br /> B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using Judy arrays.</p>

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Zpravodaj CSTUG

  • ISSN

    1211-6661

  • e-ISSN

    1213-8185

  • Volume of the periodical

    33

  • Issue of the periodical within the volume

    3-4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    125-138

  • UT code for WoS article

  • EID of the result in the Scopus database