SOJKA, Ondřej, Petr SOJKA and Jakub MÁCA. A Roadmap for Universal Syllabic Segmentation. Zpravodaj CSTUG. Brno: CSTUG, 2023, vol. 33, 3-4, p. 125-138. ISSN 1211-6661. Available from: https://dx.doi.org/10.5300/2023-3-4/125.
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Basic information
Original name A Roadmap for Universal Syllabic Segmentation
Name (in English) A Roadmap for Universal Syllabic Segmentation
Authors SOJKA, Ondřej (203 Czech Republic, guarantor, belonging to the institution), Petr SOJKA (203 Czech Republic, belonging to the institution) and Jakub MÁCA (203 Czech Republic, belonging to the institution).
Edition Zpravodaj CSTUG, Brno, CSTUG, 2023, 1211-6661.
Other information
Original language Czech
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW DOI
RIV identification code RIV/00216224:14330/23:00132504
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.5300/2023-3-4/125
Keywords (in Czech) slabičnost; slabika; dělení slov; příprava univerzálních vzorů
Keywords in English syllabification; hyphenation; universal syllabic patterns preparation
Tags Reviewed
Changed by Changed by: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Changed: 12/12/2023 17:56.
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.
Abstract (in English)
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.
Links
MUNI/A/1339/2022, interní kód MUName: Rozvoj technik pro zpracování dat pro podporu vyhledávání, analýz a vizualizací rozsáhlých datových souborů s využitím umělé inteligence
Investor: Masaryk University, Development of data processing techniques to support search, analysis and visualization of large datasets using artificial intelligence
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