The Natural Language Technology Group (NLTG) explores ways in which computer technology can be applied to tasks which involve the use of natural (human) languages (like English, French or Arabic). We are particularly interested in statistical generation, lexical representation, multilingualism, emotional content in text, and natural language systems and architectures.
Research studentship opportunity in Case-based text mining
Deadline 11 April 2013
News
The university invites applications for 3-year funded PhD studentships starting in 2013/14, including one based in NLTG on Case-based text mining. Deadline 11 April 2013.
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Yin Ling gets her PhD, two new PhD students join NLTG, and applications are invited for a university-funded studentship.
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Research
Current projects- ChartEx (ESRC/AHRC/JISC) - text mining medieval English and Latin charters (title deeds) (joint with York, Columbia, Leiden, Toronto and Washington)
- Vision and Language Network (EPSRC) - a forum for researchers from Computer Vision and Language Technology to meet and exchange ideas, expertise and technology (joint with Kingston and other network partners)
- Morphological database (ERC) - development of a database application for language morphology data (subcontract to Surrey University's Morphological Complexity project)
- i-Collaborate (Singapore Govt) - development of linguistic analysis module for interactive teaching support tool in Singapore primary schools (subcontract to Integral Solutions (Asia) Pte)
- Linguistic ontology (AHRC) - consultancy on the design and implementation of ontological representations for linguistic theory (consultancy to Surrey University's From competing theories to fieldwork project)
- Araborth (ESRC) - construction of an inheritance-based lexicon for Arabic combining phonology and morphology with orthography
- Generation Challenges 2012 - international initiative to promote evaluation of language generation systems reaches its sixth year! (joint with Malta, Potsdam and Union College)
- 3D-COFORM (EC) - using language technology for text mining and interface localisation in cultural heritage applications
- PRODIGY (EPSRC) - exploring approaches to probabilistic deep generation
- Sentiment Analysis (Sharmila Satthar)
- Search engine tools in e-Learning systems (Narmeen Bokhari)
- Detecting generic topic in texts (Yin Ling, completed 2012)
Group members
- Academic staff: Anya Belz, Roger Evans
- Research staff: Lynne Cahill
- Visiting staff: Dunstan Brown (Visiting fellow), Gerald Gazdar (Visiting professor)
- Research students: Narmeen Bokhari, Sharmila Satthar
Recent Publications
Please see the publications page on the NLTG group website.
