A Roadmap for Universal Syllabic Segmentation

J 2023

A Roadmap for Universal Syllabic Segmentation

SOJKA, Ondřej, Petr SOJKA a Jakub MÁCA

Základní údaje

Originální název

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

TUGboat: The Communications of the TeX Users Group, San Francisco, USA, TUG, 2023, 0896-3207

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

20206 Computer hardware and architecture

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

conference program preprint presentation slides journal PDF

Kód RIV

RIV/00216224:14330/23:00131244

Organizační jednotka

Fakulta informatiky

Klíčová slova česky

dělení slov; generování vzorů; databáze slov; vícejazyčná sazba; slabičné algoritmy; patgen; soutěživé vzory

Klíčová slova anglicky

hyphenation; pattern generation; word list database; multilingual typesetting; syllabification algorithms; patgen; competing patterns

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 4. 2024 16:28, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

MUNI/A/1339/2022, interní kód MU

Název: 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

Citovat

SOJKA, Ondřej, Petr SOJKA a Jakub MÁCA. A Roadmap for Universal Syllabic Segmentation. TUGboat: The Communications of the TeX Users Group. San Francisco, USA: TUG, 2023, roč. 44, č. 2, s. 289-296. ISSN 0896-3207.

@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 a Jakub MÁCA. A Roadmap for Universal Syllabic Segmentation. \textit{TUGboat: The Communications of the TeX Users Group}. San Francisco, USA: TUG, 2023, roč.~44, č.~2, s.~289-296. ISSN~0896-3207.

Podrobný výpis o publikaci