A Roadmap for Universal Syllabic Segmentation

J 2023

A Roadmap for Universal Syllabic Segmentation

SOJKA, Ondřej, Petr SOJKA and Jakub MÁCA

Basic information

Original name

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

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

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

20206 Computer hardware and architecture

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

conference program preprint presentation slides journal PDF

RIV identification code

RIV/00216224:14330/23:00131244

Organization unit

Faculty of Informatics

Keywords (in Czech)

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

Keywords in English

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

Abstract

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.

Links

MUNI/A/1339/2022, interní kód MU

Name: 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

Citovat

SOJKA, Ondřej, Petr SOJKA and Jakub MÁCA. A Roadmap for Universal Syllabic Segmentation. 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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   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.

Detailed Information on Publication Record