Affiliated Research Centres
National Centre for Language Technology (NCLT)
The National Centre for Language Technology (NCLT) is based in the School of Computing in Dublin City University. The Centre carries out basic and applied research in the areas of machine translation, natural language parsing, grammar induction, question answering, sentiment analysis, computer-aided language learning, software localisation, speech recognition and speech synthesis. Its researchers are drawn from the School of Computing, the School of Applied Languages and Intercultural Studies and the School of Electronic Engineering.
Knowledge and Data Engineering Group (KDEG)
The KDEG research group is pioneering research into the fundamental challenges and application of knowledge driven systems. The group combines innovative technology research in knowledge discovery, representation, reasoning, data management and intelligent systems engineering. The group applies this research to enable next generation systems and applications services in areas such as the Management of Network and Telecommunication, Technology Enhanced Learning, Autonomic and Adaptive Web based Systems and aspects of Health Informatics.
Localisation Research Centre (LRC)
The LRC was established in 1995 as the Localisation Resources Centre at University College Dublin (UCD) and moved to the University of Limerick (UL) in 1999 where it was re-constituted as the Localisation Research Centre (LRC) as the information, research and educational centre for the localisation industry.
The LRC co-operates at national and international level with researchers and students, the media, consultancy firms, government agencies, and the European Commission. The Centre's key activities include research and development and the evaluation of localisation tools, the establishment of a Localisation Tools Library, consultancy services, education and training, the publication of a regular Journal, the organisation of an annual academic competition, and holding of one of the world’s leading localisation events.
MUSTER is a dynamic speech technology group at CSI UCD led by Professor Julie Carson-Berndsen and whose members include postdoctoral and PhD researchers, (as well as occasional visiting researchers and student interns), engaged in a diverse range of topics relating to computational linguistics and natural language processing. The group (formerly known as CLiSTE - Computational Linguistics in Speech Technology Enhancement) has retained the name of a previous, successful SFI-funded project entitled Multilingual Ubiquitous Speech Technology: Enhanced and Rethought for use with its current, ongoing, and future research initiatives.
MUSTER's current research profile includes work on developing new techniques for speech recognition and synthesis, novel approaches to localisation, as well as methods for the automatic annotation of linguistic data resources. A common thread uniting these disparate research areas is how group members are exploring ways in which explicit linguistic knowledge (about syllable structure or feature dependencies for example) can be combined with statistical techniques commonly used in speech technology so as to produce robust and portable applications.
The Creative Language System Group
The Creative Language System Group is dedicated to the computational exploration of language and its creative potential, from lexical phenomena such as Metaphor, Analogy, Metonymy, Polysemy, to complex social phenomena like Humour. They build models of creative language use, and attempt to construct applications from these models. They also strive to develop generalised models of creative linguistic behaviour. The resources that drive their research are the lexical ontologies WordNet and HowNet and the open-source encyclopaedia Wikipedia.
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