A Roadmap for Universal Syllabic Segmentation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

čeština

Název v původním jazyce

A Roadmap for Universal Syllabic Segmentation

Popis výsledku v původním jazyce

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>

Název v anglickém jazyce

A Roadmap for Universal Syllabic Segmentation

Popis výsledku anglicky

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>

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Zpravodaj CSTUG

ISSN

1211-6661

e-ISSN

1213-8185

Svazek periodika

33

Číslo periodika v rámci svazku

3-4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

14

Strana od-do

125-138

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—