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Deep Syntax in Statistical Machine Translation
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Graham, Yvette. - : Dublin City University. National Centre for Language Technology (NCLT), 2011. : Dublin City University. School of Computing, 2011
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In: Graham, Yvette (2011) Deep Syntax in Statistical Machine Translation. PhD thesis, Dublin City University. (2011)
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LFG without C-structures
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In: Cetinoglu, Ozlem, Foster, Jennifer orcid:0000-0002-7789-4853 , Nivre, Joakim, Hogan, Deirdre, Cahill, Aoife orcid:0000-0002-3519-7726 and van Genabith, Josef orcid:0000-0003-1322-7944 (2010) LFG without C-structures. In: the 9th International Workshop on Treebanks and Linguistic Theories, 3 - 4 Dec. 2010, Tartu Estonia. (2010)
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Closing the gap between stochastic and rule-based LFG grammars
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In: Hautli, Annette, Cetinoglu, Ozlem and van Genabith, Josef orcid:0000-0003-1322-7944 (2010) Closing the gap between stochastic and rule-based LFG grammars. In: the LFG10 Conference, 18-20 July 2010, Ottowa, Canada. (2010)
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German particle verbs and pleonastic prepositions
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In: Rehbein, Ines and van Genabith, Josef (2006) German particle verbs and pleonastic prepositions. In: Third ACL-SIGSEM Workshop on Prepositions, 3 April 2006, Trento, Italy. (2006)
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Automatic extraction of large-scale multilingual lexical resources
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In: O'Donovan, Ruth (2006) Automatic extraction of large-scale multilingual lexical resources. PhD thesis, Dublin City University. (2006)
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Evaluating automatic LFG f-structure annotation for the Penn-II treebank
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In: Burke, Michael, Cahill, Aoife orcid:0000-0002-3519-7726 , McCarthy, Mairéad, O'Donovan, Ruth, van Genabith, Josef and Way, Andy orcid:0000-0001-5736-5930 (2004) Evaluating automatic LFG f-structure annotation for the Penn-II treebank. Research on Language and Computation, 2 (4). pp. 523-547. ISSN 1570-7075 (2004)
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Abstract:
Lexical-Functional Grammar (LFG: Kaplan and Bresnan, 1982; Bresnan, 2001; Dalrymple, 2001) f-structures represent abstract syntactic information approximating to basic predicate-argument-modifier (dependency) structure or simple logical form (van Genabith and Crouch, 1996; Cahill et al., 2003a) . A number of methods have been developed (van Genabith et al., 1999a,b, 2001; Frank, 2000; Sadler et al., 2000; Frank et al., 2003) for automatically annotating treebank resources with LFG f-structure information. Until recently, however, most of this work on automatic f-structure annotation has been applied only to limited data sets, so while it may have shown lsquoproof of conceptrsquo, it has not yet demonstrated that the techniques developed scale up to much larger data sets. More recent work (Cahill et al., 2002a,b) has presented efforts in evolving and scaling techniques established in these previous papers to the full Penn-II Treebank (Marcus et al., 1994). In this paper, we present a number of quantitative and qualitative evaluation experiments which provide insights into the effectiveness of the techniques developed to automatically derive a set of f-structures for the more than 1,000,000 words and 49,000 sentences of Penn-II. Currently we obtain 94.85% Precision, 95.4% Recall and 95.09% F-Score for preds-only f-structures against a manually encoded gold standard.
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Keyword:
automatic annotation; corpora; evaluation; Lexical Functional Grammar; Machine translating; treebanks; unification grammar
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URL: http://doras.dcu.ie/15363/
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