Please join us for the next Discovery Series presentation streamed live through College of Information's YouTube channel and hosted in 250H at Willis Library.
The Electronic Metastructure for Endangered Languages Data (EMELD) has been a valued resource for linguists and archivists since its creation from 2001-2007. Funded by several generous grants from the National Science Foundation, EMELD was conceived with two goals in mind: 1) to aid in the preservation of endangered language data and documentation and 2) to aid in the development of the standards necessary for effective collaboration among electronic archives.
The project ran seven workshops that brought together data scientists and documentary linguists to develop standards and recommend practices in metadata creation, lexicon construction, text annotation, database design, and tool development; the workshops resulted in numerous seminal presentations and working group reports. Associated projects also provided digital maps for locating languages (LL-MAP) and a digital library of language relationships (Multi-Tree).
The online interface for EMELD includes a School of Best Practices with comprehensive instructions for creating and preserving digital data, demonstration projects from eleven disparate endangered languages, a database of tools and readings, and a suggested ontology for language description.
While the data accumulated by these projects remains available, the project interfaces and consequent project integration have not been updated since moving to the current host institution. The lecture will review this constellation of resources and set out the need for technical and content updates, as well as outlining the challenges in website design, digital language curation, annotation, and preservation that EMELD faces.
The lecture will be followed by a panel discussion led by Helen Arirstar-Dry, Gary Simons, Alexis Palmer (Assistant Professor, Linguistics, UNT), Sadaf Munshi (Associate Professor, Linguistics, UNT), Jeonghyun "Annie" Kim (Associate Professor, Information Science, UNT), Yunfei Du (Professor, Information Science, UNT), and Oksana Zavalina (Associate Professor, Information Science, UNT).