Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00132397" target="_blank" >RIV/00216224:14330/23:00132397 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fi.muni.cz/usr/sojka/papers/sojka-sojka-raslan-2023.pdf" target="_blank" >https://www.fi.muni.cz/usr/sojka/papers/sojka-sojka-raslan-2023.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development

Popis výsledku v původním jazyce

Finding space- and time-effective even <em>perfect</em> solution to the dictionary problem is an important practical and research problem, which solving may lead to a breakthrough in computation. Competing pattern technology from TeX is a special case, where for a given dictionary a word segmentation is stored in the competing patterns yet with very good generalization quality. Recently, the unreasonable effectiveness of pattern generation has been shown---it is possible to use hyphenation patterns to solve the dictionary problem jointly even for several languages without compromise. <p> In this article, we study the effectiveness of <tt>patgen</tt> for the supervised machine learning of the generation of the Czechoslovak hyphenation patterns. We show the machine learning techniques to develop competing patterns that are close to being perfect. We evaluate the new approach by improvements and space savings we gained during the development and finetuning of Czechoslovak hyphenation patterns.</p>

Název v anglickém jazyce

Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development

Popis výsledku anglicky

Finding space- and time-effective even <em>perfect</em> solution to the dictionary problem is an important practical and research problem, which solving may lead to a breakthrough in computation. Competing pattern technology from TeX is a special case, where for a given dictionary a word segmentation is stored in the competing patterns yet with very good generalization quality. Recently, the unreasonable effectiveness of pattern generation has been shown---it is possible to use hyphenation patterns to solve the dictionary problem jointly even for several languages without compromise. <p> In this article, we study the effectiveness of <tt>patgen</tt> for the supervised machine learning of the generation of the Czechoslovak hyphenation patterns. We show the machine learning techniques to develop competing patterns that are close to being perfect. We evaluate the new approach by improvements and space savings we gained during the development and finetuning of Czechoslovak hyphenation patterns.</p>

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LM2023062" target="_blank" >LM2023062: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Recent Advances in Slavonic Natural Language Processing (RASLAN 2023)

ISBN

9788026317937

ISSN

2336-4289

e-ISSN

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Počet stran výsledku

8

Strana od-do

113-120

Název nakladatele

Tribun EU

Místo vydání

Brno

Místo konání akce

Kouty nad Desnou

Datum konání akce

8. 12. 2023

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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