The Multilingual Corpus of Survey Questionnaires Query Interface

Danielly Sorato, Diana Zavala-Rojas


Abstract
The dawn of the digital age led to increasing demands for digital research resources, which shall be quickly processed and handled by computers. Due to the amount of data created by this digitization process, the design of tools that enable the analysis and management of data and metadata has become a relevant topic. In this context, the Multilingual Corpus of Survey Questionnaires (MCSQ) contributes to the creation and distribution of data for the Social Sciences and Humanities (SSH) following FAIR (Findable, Accessible, Interoperable and Reusable) principles, and provides functionalities for end-users that are not acquainted with programming through an easy-to-use interface. By simply applying the desired filters in the graphic interface, users can build linguistic resources for the survey research and translation areas, such as translation memories, thus facilitating data access and usage.
Anthology ID:
2021.latechclfl-1.5
Volume:
Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Month:
November
Year:
2021
Address:
Punta Cana, Dominican Republic (online)
Editors:
Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
Venue:
LaTeCHCLfL
SIG:
SIGHUM
Publisher:
Association for Computational Linguistics
Note:
Pages:
43–48
Language:
URL:
https://aclanthology.org/2021.latechclfl-1.5
DOI:
10.18653/v1/2021.latechclfl-1.5
Bibkey:
Cite (ACL):
Danielly Sorato and Diana Zavala-Rojas. 2021. The Multilingual Corpus of Survey Questionnaires Query Interface. In Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 43–48, Punta Cana, Dominican Republic (online). Association for Computational Linguistics.
Cite (Informal):
The Multilingual Corpus of Survey Questionnaires Query Interface (Sorato & Zavala-Rojas, LaTeCHCLfL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.latechclfl-1.5.pdf