Linghub2: Language Resource Discovery Tool for Language Technologies
Cécile Robin, Gautham Vadakkekara Suresh, Víctor Rodriguez-Doncel, John P. McCrae, Paul Buitelaar
Abstract
Language resources are a key component of natural language processing and related research and applications. Users of language resources have different needs in terms of format, language, topics, etc. for the data they need to use. Linghub (McCrae and Cimiano, 2015) was first developed for this purpose, using the capabilities of linked data to represent metadata, and tackling the heterogeneous metadata issue. Linghub aimed at helping language resources and technology users to easily find and retrieve relevant data, and identify important information on access, topics, etc. This work describes a rejuvenation and modernisation of the 2015 platform into using a popular open source data management system, DSpace, as foundation. The new platform, Linghub2, contains updated and extended resources, more languages offered, and continues the work towards homogenisation of metadata through conversions, through linkage to standardisation strategies and community groups, such as the Open Digital Rights Language (ODRL) community group.- Anthology ID:
- 2022.lrec-1.682
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 6352–6360
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.682
- DOI:
- Cite (ACL):
- Cécile Robin, Gautham Vadakkekara Suresh, Víctor Rodriguez-Doncel, John P. McCrae, and Paul Buitelaar. 2022. Linghub2: Language Resource Discovery Tool for Language Technologies. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6352–6360, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Linghub2: Language Resource Discovery Tool for Language Technologies (Robin et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2022.lrec-1.682.pdf