A Roadmap for Universal Syllabic Segmentation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131244" target="_blank" >RIV/00216224:14330/23:00131244 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.fi.muni.cz/usr/sojka/papers/sojka-sojka-maca-tug-2023.pdf" target="_blank" >https://www.fi.muni.cz/usr/sojka/papers/sojka-sojka-maca-tug-2023.pdf</a>
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
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 remain 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. As language switching is often not marked in rendered texts, the typesetting engine needs <em>universal syllabic segmentation</em>. In this article, we show the feasibility of this idea by offering a prototypical solution to two main problems: A) Patgen generation process for several languages at once; B) no <a href="https://en.wikipedia.org/wiki/Wide_character">wide character</a> support in tools like Patgen or TeX hyphenation, e.g. internal Unicode compliance is missing. For A), we have applied it to generating universal syllabic patterns from wordlists of nine syllabic, as opposed to etymology-based, languages. For B), we have created a version of Patgen 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. With the data from nine languages (Czech, Slovak, Georgian, Greek, Polish, Russian, Turkish, Turkmen, and Ukrainian) we showed that A) developing universal, up-to-date, high-coverage, and highly generalized universal syllabic segmentation patterns is possible, with high impact on virtually all typesetting engines, including web page renderers. B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using the Judy array.
Název v anglickém jazyce
A Roadmap for Universal Syllabic Segmentation
Popis výsledku anglicky
Space- and time-effective segmentation (word hyphenation) of natural languages remain 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. As language switching is often not marked in rendered texts, the typesetting engine needs <em>universal syllabic segmentation</em>. In this article, we show the feasibility of this idea by offering a prototypical solution to two main problems: A) Patgen generation process for several languages at once; B) no <a href="https://en.wikipedia.org/wiki/Wide_character">wide character</a> support in tools like Patgen or TeX hyphenation, e.g. internal Unicode compliance is missing. For A), we have applied it to generating universal syllabic patterns from wordlists of nine syllabic, as opposed to etymology-based, languages. For B), we have created a version of Patgen 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. With the data from nine languages (Czech, Slovak, Georgian, Greek, Polish, Russian, Turkish, Turkmen, and Ukrainian) we showed that A) developing universal, up-to-date, high-coverage, and highly generalized universal syllabic segmentation patterns is possible, with high impact on virtually all typesetting engines, including web page renderers. B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using the Judy array.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
—
OECD FORD obor
20206 - Computer hardware and architecture
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
TUGboat: The Communications of the TeX Users Group
ISSN
0896-3207
e-ISSN
—
Svazek periodika
44
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
8
Strana od-do
289-296
Kód UT WoS článku
—
EID výsledku v databázi Scopus
—