Transferring Word-Formation Networks Between Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440584" target="_blank" >RIV/00216208:11320/21:10440584 - isvavai.cz</a>
Result on the web
<a href="http://nabil.hathout.free.fr/DeriMo2021/pdf-files/DeriMo-2021.pdf" target="_blank" >http://nabil.hathout.free.fr/DeriMo2021/pdf-files/DeriMo-2021.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Transferring Word-Formation Networks Between Languages
Original language description
In this article, we present a proof-of-concept method for creating word-formation networks by transferring information from another language. The proposed algorithm utilizes an existing word-formation network and parallel texts and creates a low-precision and moderate-recall network in a language, for which no manual annotations need to be available. We then extend the coverage of the resulting network by using it to train a machine-learning method and applying the resulting model to a larger lexicon, obtaining a moderate-precision and high-recall result. The approach is evaluated on French, German and Czech against existing word-formation networks in those languages.
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/GA19-14534S" target="_blank" >GA19-14534S: Word-formation structure of Czech words: a data-based research</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Third International Workshop on Resources and Tools for Derivational Morphology (DeriMo 2021)
ISBN
978-2-9580006-0-8
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
135-144
Publisher name
ATILF
Place of publication
Nancy, France
Event location
Online
Event date
Sep 9, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—