@inproceedings{kyjanek-2022-web,
title = "Web-based Annotation Interface for Derivational Morphology",
author = "Kyj{\'a}nek, Luk{\'a}{\v{s}}",
editor = "Hajishirzi, Hannaneh and
Ning, Qiang and
Sil, Avi",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations",
month = jul,
year = "2022",
address = "Hybrid: Seattle, Washington + Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-demo.2",
doi = "10.18653/v1/2022.naacl-demo.2",
pages = "10--16",
abstract = "The paper presents a visual interface for manual annotation of language resources for derivational morphology. The interface is web-based 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.",
}
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%0 Conference Proceedings
%T Web-based Annotation Interface for Derivational Morphology
%A Kyjánek, Lukáš
%Y Hajishirzi, Hannaneh
%Y Ning, Qiang
%Y Sil, Avi
%S Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
%D 2022
%8 July
%I Association for Computational Linguistics
%C Hybrid: Seattle, Washington + Online
%F kyjanek-2022-web
%X The paper presents a visual interface for manual annotation of language resources for derivational morphology. The interface is web-based 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.
%R 10.18653/v1/2022.naacl-demo.2
%U https://aclanthology.org/2022.naacl-demo.2
%U https://doi.org/10.18653/v1/2022.naacl-demo.2
%P 10-16
Markdown (Informal)
[Web-based Annotation Interface for Derivational Morphology](https://aclanthology.org/2022.naacl-demo.2) (Kyjánek, NAACL 2022)
ACL
- Lukáš Kyjánek. 2022. Web-based Annotation Interface for Derivational Morphology. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, pages 10–16, Hybrid: Seattle, Washington + Online. Association for Computational Linguistics.