SOJKA, Ondřej, Petr SOJKA a Jakub MÁCA. A Roadmap for Universal Syllabic Segmentation. Zpravodaj CSTUG. Brno: CSTUG, 2023, roč. 33, 3-4, s. 125-138. ISSN 1211-6661. Dostupné z: https://dx.doi.org/10.5300/2023-3-4/125.
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Základní údaje
Originální název A Roadmap for Universal Syllabic Segmentation
Název anglicky A Roadmap for Universal Syllabic Segmentation
Autoři SOJKA, Ondřej (203 Česká republika, garant, domácí), Petr SOJKA (203 Česká republika, domácí) a Jakub MÁCA (203 Česká republika, domácí).
Vydání Zpravodaj CSTUG, Brno, CSTUG, 2023, 1211-6661.
Další údaje
Originální jazyk čeština
Typ výsledku Článek v odborném periodiku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
WWW DOI
Kód RIV RIV/00216224:14330/23:00132504
Organizační jednotka Fakulta informatiky
Doi http://dx.doi.org/10.5300/2023-3-4/125
Klíčová slova česky slabičnost; slabika; dělení slov; příprava univerzálních vzorů
Klíčová slova anglicky syllabification; hyphenation; universal syllabic patterns preparation
Příznaky Recenzováno
Změnil Změnil: doc. RNDr. Petr Sojka, Ph.D., učo 2378. Změněno: 12. 12. 2023 17:56.
Anotace
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.
Anotace 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.

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.
Návaznosti
MUNI/A/1339/2022, interní kód MUNázev: Rozvoj technik pro zpracování dat pro podporu vyhledávání, analýz a vizualizací rozsáhlých datových souborů s využitím umělé inteligence
Investor: Masarykova univerzita, Rozvoj technik pro zpracování dat pro podporu vyhledávání, analýz a vizualizací rozsáhlých datových souborů s využitím umělé inteligence
VytisknoutZobrazeno: 24. 5. 2024 21:13