Identification of root morphs in morphologically segmented data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475938" target="_blank" >RIV/00216208:11320/23:10475938 - isvavai.cz</a>
Result on the web
<a href="https://derimo.ffzg.unizg.hr/media/uploads/proceedings/derimo2023.pdf" target="_blank" >https://derimo.ffzg.unizg.hr/media/uploads/proceedings/derimo2023.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Identification of root morphs in morphologically segmented data
Original language description
As a result of the ongoing push for unification, extension and integration of morphological resources, need arises for reliable low-resource morph classification, especially root identification. The paper reports on our experiments with multiple root identification methods with various degrees of supervision, tested on several Indo-European languages, showing, among others, that given morphological segmentation, surprisingly good root identification can be achieved using simple unsupervised statistical methods, the main bottlenecks being compounding and homomorphy resolution.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
2023: Zagreb, Croatia: DeriMo 2023: The Fourth International Workshop on Resources and Tools for Derivational Morphology
ISBN
978-953-55375-5-7
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
23-32
Publisher name
Croatian Language Technology Society
Place of publication
Zagreb, Croatia
Event location
Dubrovnik, Croatia
Event date
Oct 5, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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