The Cardamom project aims to close the resource gap for minority and under-resourced languages by means of deep-learning-based natural language processing (NLP) and exploiting similarities of closely-related languages. The project further extends this idea to historical languages, which can be considered as closely related to their modern form, and as such aims to provide NLP through both space and time for languages that have been ignored by current approaches.
The Cardamom project is funded by the Irish Research Council under the Consolidator Laureate Award scheme (grant number IRCLA/2017/129), with John P. McCrae as principal investigator. The project will run from 2019–2023 and is hosted within the Unit for Linguistic Data in the Insight SFI Research Centre for Data Analytics, Data Science Institute at the National University of Ireland Galway.
Our dissemination activities include the Cardamom Seminar Series, consisting of monthly guest seminars on aspects of low-resource NLP. The seminars connect researchers who are working to alleviate challenges around language resources and technologies for minority, historical, indigenous and lesser-resourced languages across the globe. The seminar series aims to provide a platform to discuss various types of problems that researchers face during their research. See Events for upcoming talks, and our YouTube channel for recordings of past talks. Get in touch with one of our team members if you are interested in giving a talk.