Papers by Robert Forkel
Converting Legacy Data to CLDF: A FAIR Exit Strategy for Linguistic Web Apps (2024.lrec-main)
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| Challenge: | a number of web applications that enabled comparative linguistics research became obsolete . cross-linguistic data formats (CLDF) are available for use in linguistic research . |
| Approach: | a new standard allows researchers to convert legacy linguistic web apps into FAIR data . the standard uses W3C recommendations Model for Tabular Data and Metadata on the Web and MetaData Vocabulary for Tabulary . |
| Outcome: | a new standard can be used to convert legacy linguistic web apps into FAIR datasets . the standard is built on the W3C recommendations Model for Tabular Data and Metadata on the Web and MetaData Vocabulary for Tabulary on the web . |
CLDFBench: Give Your Cross-Linguistic Data a Lift (2020.lrec-1)
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| Challenge: | despite the increasing amount of cross-linguistic data, most datasets are not FAIR (findable, accessible, interoperable, and reproducible) . with the Cross-Linguistic Data Formats initiative, first standards for cross-language data have been presented and successfully tested. |
| Approach: | They propose a framework for the retro-standardization of legacy data and the curation of new datasets that drastically simplifies the creation of CLDFs. |
| Outcome: | The proposed framework simplifies the creation of CLDFs by providing a consistent, reproducible workflow that supports version control and long term archiving of research data and code. |
Linguistic Survey of India and Polyglotta Africana: Two Retrostandardized Digital Editions of Large Historical Collections of Multilingual Wordlists (2024.lrec-main)
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| Challenge: | Linguistic Survey of India and Polyglotta Africana are two of the largest historical collections of multilingual wordlists. |
| Approach: | They present a retro-standardized edition of the Linguistic Survey of India and the Polyglotta Africana, which are two of the largest historical collections of multilingual wordlists. |
| Outcome: | The LSI and PA are the largest historical collections of multilingual wordlists . but no editions in which the original data is presented in standardized form have been produced so far . |