A Roadmap for Universal Syllabic Segmentation

Ondřej Sojka; Petr Sojka; Jakub Máca

Zpravodaj Československého sdružení uživatelů TeXu (2023)

  • Volume: 033, Issue: 3-4, page 125-138
  • ISSN: 1211-6661

Abstract

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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. 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 prototype solution to two main problems: A) Using Patgen to generate patterns for several languages at once; and B) lack of Unicode support in tools like Patgen or TeX (patterns in UTF-16 encoding) is missing. 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). 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 these nine languages, we show that: 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 B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using Judy arrays.

How to cite

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Sojka, Ondřej, Sojka, Petr, and Máca, Jakub. "A Roadmap for Universal Syllabic Segmentation." Zpravodaj Československého sdružení uživatelů TeXu 033.3-4 (2023): 125-138. <http://eudml.org/doc/299162>.

@article{Sojka2023,
abstract = {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. 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 prototype solution to two main problems: A) Using Patgen to generate patterns for several languages at once; and B) lack of Unicode support in tools like Patgen or TeX (patterns in UTF-16 encoding) is missing. 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). 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 these nine languages, we show that: 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 B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using Judy arrays.},
author = {Sojka, Ondřej, Sojka, Petr, Máca, Jakub},
journal = {Zpravodaj Československého sdružení uživatelů TeXu},
language = {eng},
number = {3-4},
pages = {125-138},
publisher = {Československé sdružení uživatelů TeXu},
title = {A Roadmap for Universal Syllabic Segmentation},
url = {http://eudml.org/doc/299162},
volume = {033},
year = {2023},
}

TY - JOUR
AU - Sojka, Ondřej
AU - Sojka, Petr
AU - Máca, Jakub
TI - A Roadmap for Universal Syllabic Segmentation
JO - Zpravodaj Československého sdružení uživatelů TeXu
PY - 2023
PB - Československé sdružení uživatelů TeXu
VL - 033
IS - 3-4
SP - 125
EP - 138
AB - 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. 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 prototype solution to two main problems: A) Using Patgen to generate patterns for several languages at once; and B) lack of Unicode support in tools like Patgen or TeX (patterns in UTF-16 encoding) is missing. 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). 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 these nine languages, we show that: 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 B) bringing wide character support into the hyphenation part of the TeX suite of programs is possible by using Judy arrays.
LA - eng
UR - http://eudml.org/doc/299162
ER -

References

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  22. Sojka, Petr, Sojka, Ondřej, Towards Universal Hyphenation Patterns, In: HORÁK, Aleš; RYCHLÝ, Pavel; RAMBOUSEK, Adam (eds.). Proceedings of Recent Advances in Slavonic Natural Language Processing—RASLAN 2019. Karlova Studánka, Czech Republic: Tribun EU, 2019, 63–68. Dostupné také z: https://nlp.fi.muni.cz/raslan/2019/paper13-sojka.pdf. https://is.muni.cz/publication/1585259/?lang=en. (2019) 
  23. Máca, Jakub, Judy, Brno, Czech Republic, 2023. Dostupné také z: https://is.muni.cz/th/kru3j. Bachelor Thesis supervised by Petr Sojka and defended at Masaryk University, Faculty of Informatics. (2023) 
  24. Lemberg, Werner, A database of German words with hyphenation information, 2023. Dostupné také z: https://repo.or.cz/wortliste.git. (2023) 

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