@inproceedings{uskudarli-etal-2023-tulap,
title = "{TULAP} - An Accessible and Sustainable Platform for {T}urkish Natural Language Processing Resources",
author = {Uskudarli, Susan and
{\c{S}}en, Muhammet and
Akkurt, Furkan and
G{\"u}rb{\"u}z, Merve and
Gungor, Onur and
{\"O}zg{\"u}r, Arzucan and
G{\"u}ng{\"o}r, Tunga},
editor = "Croce, Danilo and
Soldaini, Luca",
booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.eacl-demo.25",
doi = "10.18653/v1/2023.eacl-demo.25",
pages = "219--227",
abstract = "Access to natural language processing resources is essential for their continuous improvement. This can be especially challenging in educational institutions where the software development effort required to package and release research outcomes may be overwhelming and under-recognized. Access towell-prepared and reliable research outcomes is important both for their developers as well as the greater research community. This paper presents an approach to address this concern with two main goals: (1) to create an open-source easily deployable platform where resources can be easily shared and explored, and (2) to use this platform to publish open-source Turkish NLP resources (datasets and tools) created by a research lab. The Turkish Natural Language Processing (TULAP) was designed and developed as an easy-to-use platform to share dataset and tool resources which supports interactive tool demos. Numerous open access Turkish NLP resources have been shared on TULAP. All tools are containerized to support portability for custom use. This paper describes the design, implementation, and deployment of TULAP with use cases (available at \url{https://tulap.cmpe.boun.edu.tr/}). A short video demonstrating our system is available at \url{https://figshare.com/articles/media/TULAP_Demo/22179047}.",
}
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<abstract>Access to natural language processing resources is essential for their continuous improvement. This can be especially challenging in educational institutions where the software development effort required to package and release research outcomes may be overwhelming and under-recognized. Access towell-prepared and reliable research outcomes is important both for their developers as well as the greater research community. This paper presents an approach to address this concern with two main goals: (1) to create an open-source easily deployable platform where resources can be easily shared and explored, and (2) to use this platform to publish open-source Turkish NLP resources (datasets and tools) created by a research lab. The Turkish Natural Language Processing (TULAP) was designed and developed as an easy-to-use platform to share dataset and tool resources which supports interactive tool demos. Numerous open access Turkish NLP resources have been shared on TULAP. All tools are containerized to support portability for custom use. This paper describes the design, implementation, and deployment of TULAP with use cases (available at https://tulap.cmpe.boun.edu.tr/). A short video demonstrating our system is available at https://figshare.com/articles/media/TULAP_Demo/22179047.</abstract>
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%0 Conference Proceedings
%T TULAP - An Accessible and Sustainable Platform for Turkish Natural Language Processing Resources
%A Uskudarli, Susan
%A Şen, Muhammet
%A Akkurt, Furkan
%A Gürbüz, Merve
%A Gungor, Onur
%A Özgür, Arzucan
%A Güngör, Tunga
%Y Croce, Danilo
%Y Soldaini, Luca
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F uskudarli-etal-2023-tulap
%X Access to natural language processing resources is essential for their continuous improvement. This can be especially challenging in educational institutions where the software development effort required to package and release research outcomes may be overwhelming and under-recognized. Access towell-prepared and reliable research outcomes is important both for their developers as well as the greater research community. This paper presents an approach to address this concern with two main goals: (1) to create an open-source easily deployable platform where resources can be easily shared and explored, and (2) to use this platform to publish open-source Turkish NLP resources (datasets and tools) created by a research lab. The Turkish Natural Language Processing (TULAP) was designed and developed as an easy-to-use platform to share dataset and tool resources which supports interactive tool demos. Numerous open access Turkish NLP resources have been shared on TULAP. All tools are containerized to support portability for custom use. This paper describes the design, implementation, and deployment of TULAP with use cases (available at https://tulap.cmpe.boun.edu.tr/). A short video demonstrating our system is available at https://figshare.com/articles/media/TULAP_Demo/22179047.
%R 10.18653/v1/2023.eacl-demo.25
%U https://aclanthology.org/2023.eacl-demo.25
%U https://doi.org/10.18653/v1/2023.eacl-demo.25
%P 219-227
Markdown (Informal)
[TULAP - An Accessible and Sustainable Platform for Turkish Natural Language Processing Resources](https://aclanthology.org/2023.eacl-demo.25) (Uskudarli et al., EACL 2023)
ACL