Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development
The result's identifiers
Result code in 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>
Result on the web
<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
—
Alternative languages
Result language
angličtina
Original language name
Towards Perfection of Machine Learning of Competing Patterns: The Use Case of Czechoslovak Patterns Development
Original language description
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>
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2023062" target="_blank" >LM2023062: Digital Research Infrastructure for Language Technologies, Arts and Humanities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Recent Advances in Slavonic Natural Language Processing (RASLAN 2023)
ISBN
9788026317937
ISSN
2336-4289
e-ISSN
—
Number of pages
8
Pages from-to
113-120
Publisher name
Tribun EU
Place of publication
Brno
Event location
Kouty nad Desnou
Event date
Dec 8, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—