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Computer assisted (language) learning (CA(L)L) for the inclusive classroom
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Greene, Cara N.. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2013. : Dublin City University. National Centre for Language Technology (NCLT), 2013. : Dublin City University. School of Computing, 2013
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In: Greene, Cara N. (2013) Computer assisted (language) learning (CA(L)L) for the inclusive classroom. PhD thesis, Dublin City University. (2013)
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Mapping the industry I: Findings on translation technologies and quality assessment
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In: Doherty, Stephen orcid:0000-0003-0887-1049 , Gaspari, Federico, Groves, Declan and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Mapping the industry I: Findings on translation technologies and quality assessment. Technical Report. GALA. (2013)
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Detecting grammatical errors with treebank-induced, probabilistic parsers
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In: Wagner, Joachim orcid:0000-0002-8290-3849 (2012) Detecting grammatical errors with treebank-induced, probabilistic parsers. PhD thesis, Dublin City University. (2012)
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Irish treebanking and parsing: a preliminary evaluation
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In: Lynn, Teresa, Cetinoglu, Ozlem, Foster, Jennifer orcid:0000-0002-7789-4853 , Uí Dhonnchadha, Elaine orcid:0000-0003-3448-4288 , Dras, Mark orcid:0000-0001-9908-7182 and van Genabith, Josef orcid:0000-0003-1322-7944 (2012) Irish treebanking and parsing: a preliminary evaluation. In: International Conference on Linguistic Resources and Evaluation, 21-27 May 2012, Istanbul, Turkey. (2012)
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Automatic treebank annotation for the acquisition of LFG resources
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In: Burke, Michael (2006) Automatic treebank annotation for the acquisition of LFG resources. PhD thesis, Dublin City University. (2006)
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Treebank annotation with a wide-coverage head-driven phrase structure grammar
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In: Schmidtke, Dag (2004) Treebank annotation with a wide-coverage head-driven phrase structure grammar. Master of Science thesis, Dublin City University. (2004)
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A structural alignment model of noun-noun compound interpretation
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Hayes, Jer. - : Dublin City University. School of Computing, 2003
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In: Hayes, Jer (2003) A structural alignment model of noun-noun compound interpretation. Master of Science thesis, Dublin City University. (2003)
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Abstract:
The interpretation of noun-noun compounds is complex, yet compounds such as 'web surfer' and 'beef baron' are generated and interpreted easily by native English speakers. Concept combination is the core process in the generation and interpretation o f noun-noun compounds. Such compounds may be read literally or metaphorically suggesting that the combination process is capable of both literal and metaphoric interpretations. The motivation for this thesis is to tackle three problems which occur in concept combination. These problems are: (1) compounds are often polysemous, (2) compounds often appear to be understood by evoking a context (or world knowledge) and (3) compounds can be interpreted figuratively. We suggest that adopting structural alignment allows us to deal with each of these problems. Structural alignment is a process whereby conceptual structures are placed into correspondence and similarities are found. The structural alignment model proposed in this thesis suggests that there are six core combination types and that an interpretation of a nounnoun compound will fall into one of these combination types. Some of these combination types are figurative and some rely on finding a context. We provide an implementation of the model, the fNCA system. The INCA system is a program where a user can find interpretations for noun-noun compounds. INCA has a knowledge base and attempts to find fixed patterns in a network representation of concepts. Depending on the type of pattern found, several types of interpretation can be generated. The performance of INCA is compared with that of a number of human subjects in a brief evaluation study. The study shows that combination types proposed by our structural alignment model to offer a good coverage of the interpretations that people generate. Finally we set out proposals for developing INCA further and outline directions for future research.
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Keyword:
concept combination; Linguistics; Machine translating; noun-noun compounds; polysemous compunds
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URL: http://doras.dcu.ie/17316/
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