Web-based Annotation Interface for Derivational Morphology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10457034" target="_blank" >RIV/00216208:11320/22:10457034 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.naacl-demo.2.pdf" target="_blank" >https://aclanthology.org/2022.naacl-demo.2.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Web-based Annotation Interface for Derivational Morphology
Original language description
The paper presents a visual interface for manual annotation of language resources for derivational morphology. The interface is webbased and created using relatively simple programming techniques, and yet it rapidly facilitates and speeds up the annotation process, especially in languages with rich derivational morphology. As such, it can reduce the cost of the process. After introducing manual annotation tasks in derivational morphology, the paper describes the new visual interface and a case study that compares the current annotation method to the annotation using the interface. In addition, it also demonstrates the opportunity to use the interface for manual annotation of syntactic trees. The source codes are freely available under the MIT License on GitHub.
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
<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
2022
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 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
ISBN
978-1-955917-74-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
10-16
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Seattle, WA, USA
Event date
Jul 10, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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