I develop and maintain the following language resources:
- Language Tags for the Multilingual Semantic Web
- Model for Language Annotation (MoLA)
- Londisizwe.org - Multilingual Dictionary for Nurses & Doctors
Language Tags for the Multilingual Semantic Web
Resource Type: Website, API
For lesser-known languages, variants and other lects which do not have an equivalent ISO 639 language code, Gillis-Webber and Tittel (2019) proposed a pattern for the privateuse portion of BCP 47's language tag. This resource enables language tags to be generated according to this pattern. In addition, a language tag can be decoded from this pattern, and where applicable, the data returned also includes information from the latest versions of ISO 639 Parts 1-3. An API endpoint is also provided, with login using OAuth2 and GitHub credentials.
|2||Co-author: Sabine Tittel|
Model for Language Annotation (MoLA)
Resource Type: OWL Ontology
This lightweight OWL ontology, created by Gillis-Webber, Tittel and Keet (2019), is a model for representing information about languages, thus enabling basic language information to be recorded consistently.
|2||Co-creators: C. Maria Keet and Sabine Tittel|
Londisizwe.org - Multilingual Dictionary for Nurses and Doctors
Resource Type: Website, with lexical entries also available in Terse RDF Triple Language (Turtle)
This multilingual online dictionary is constructed according to the Linguistic Linked Data framework proposed by Gillis-Webber (2018). The lexical entries from The English-Xhosa Dictionary for Nurses has been used as seed data. This resource continues to form a component of my PhD research.
|2||Status: In development|
Created: 10 April 2020