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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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Abstract:
Traditionally, rich, constraint-based grammatical resources have been hand-coded. Scaling wide-coverage, deep, constraint-based grammars such as Lexical-Functional Grammars from fragments to naturally occurring unrestricted text is knowledge-intensive, timeconsuming and (often prohibitively) expensive. Based on earlier work by McCarthy (2003), this thesis presents the development and evaluation of an automatic LFG f-structure annotation algorithm which is the core component in a larger project on rapid, wide-coverage, deep, constraint-based, multilingual grammar acquisition, addressing the knowledge acquisition bottleneck familiar from traditional rule-based approaches to NLP and AI. The algorithm annotates the Penn-II treebank with LFG f-structure information. Grammars and lexical resources are then extracted from the f-structure annotated treebank. Extensive evaluation of the annotation algorithm against independently constructed gold-standards (PARC 700 Dependency Bank and Propbank) shows the quality of the f-structures acquired. The methodology developed in this thesis has been deployed for multilingual, rapid grammar development: grammars and lexical resources for Mandarin Chinese were acquired from the Penn Chinese Treebank (CTB) using a generic version of the annotation algorithm, seeded with linguistic generalisations for Mandarin Chinese.
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Keyword:
Lexical-Functional Grammars; LFG; Linguistics; Machine translating; multilingual grammar acquisition
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URL: http://doras.dcu.ie/17357/
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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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