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@article{2297479,
author = {Sojka, Ondřej and Sojka, Petr and Máca, Jakub},
article_location = {San Francisco, USA},
article_number = {2},
keywords = {hyphenation; pattern generation; word list database; multilingual typesetting; syllabification algorithms; patgen; competing patterns},
language = {eng},
issn = {0896-3207},
journal = {TUGboat: The Communications of the TeX Users Group},
title = {A Roadmap for Universal Syllabic Segmentation},
url = {https://tug.org/tug2023/program.html},
volume = {44},
year = {2023}
}
TY - JOUR ID - 2297479 AU - Sojka, Ondřej - Sojka, Petr - Máca, Jakub PY - 2023 TI - A Roadmap for Universal Syllabic Segmentation JF - TUGboat: The Communications of the TeX Users Group VL - 44 IS - 2 SP - 289-296 EP - 289-296 PB - TUG SN - 08963207 KW - hyphenation KW - pattern generation KW - word list database KW - multilingual typesetting KW - syllabification algorithms KW - patgen KW - competing patterns UR - https://tug.org/tug2023/program.html N2 - 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 universal syllabic segmentation. 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 wide character 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 Judy array 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. ER - SOJKA, Ondřej, Petr SOJKA and Jakub MÁCA. A Roadmap for Universal Syllabic Segmentation. \textit{TUGboat: The Communications of the TeX Users Group}. San Francisco, USA: TUG, 2023, vol.~44, No~2, p.~289-296. ISSN~0896-3207.
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