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Decreasing lexical data sparsity in statistical syntactic parsing - experiments with named entities
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In: Hogan, Deirdre, Foster, Jennifer orcid:0000-0002-7789-4853 and van Genabith, Josef orcid:0000-0003-1322-7944 (2011) Decreasing lexical data sparsity in statistical syntactic parsing - experiments with named entities. In: Multiword Expressions: from Parsing and Generation to the Real World (MWE). Workshop at ACL 2011, 19-24 June 2011, Portland, Oregon. (2011)
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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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Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources
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Schluter, Natalie. - : Dublin City University. National Centre for Language Technology (NCLT), 2011. : Dublin City University. School of Computing, 2011
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In: Schluter, Natalie (2011) Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources. PhD thesis, Dublin City University. (2011)
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Abstract:
Motivated by the expense in time and other resources to produce hand-crafted grammars, there has been increased interest in wide-coverage grammars automatically obtained from treebanks. In particular, recent years have seen a move towards acquiring deep (LFG, HPSG and CCG) resources that can represent information absent from simple CFG-type structured treebanks and which are considered to produce more language-neutral linguistic representations, such as syntactic dependency trees. As is often the case in early pioneering work in natural language processing, English has been the focus of attention in the first efforts towards acquiring treebank-based deep-grammar resources, followed by treatments of, for example, German, Japanese, Chinese and Spanish. However, to date no comparable large-scale automatically acquired deep-grammar resources have been obtained for French. The goal of the research presented in this thesis is to develop, implement, and evaluate treebank-based deep-grammar acquisition techniques for French. Along the way towards achieving this goal, this thesis presents the derivation of a new treebank for French from the Paris 7 Treebank, the Modified French Treebank, a cleaner, more coherent treebank with several transformed structures and new linguistic analyses. Statistical parsers trained on this data outperform those trained on the original Paris 7 Treebank, which has five times the amount of data. The Modified French Treebank is the data source used for the development of treebank-based automatic deep-grammar acquisition for LFG parsing resources for French, based on an f-structure annotation algorithm for this treebank. LFG CFG-based parsing architectures are then extended and tested, achieving a competitive best f-score of 86.73% for all features. The CFG-based parsing architectures are then complemented with an alternative dependency-based statistical parsing approach, obviating the CFG-based parsing step, and instead directly parsing strings into f-structures.
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Keyword:
Computational linguistics; Treebank-Based Deep LFG Grammar Acquisition
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URL: http://doras.dcu.ie/16077/
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Comparing the use of edited and unedited text in parser self-training
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In: Foster, Jennifer orcid:0000-0002-7789-4853 , Cetinoglu, Ozlem, Wagner, Joachim orcid:0000-0002-8290-3849 and van Genabith, Josef orcid:0000-0003-1322-7944 (2011) Comparing the use of edited and unedited text in parser self-training. In: The 12th International Conference on Parsing Technologies (IWPT 2011), 05-07 Oct 2011, Dublin, Ireland. ISBN 978-1-932432-04-6 (2011)
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From news to comment: Resources and benchmarks for parsing the language of web 2.0
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In: Foster, Jennifer orcid:0000-0002-7789-4853 , Cetinoglu, Ozlem, Wagner, Joachim orcid:0000-0002-8290-3849 , Le Roux, Joseph, Nivre, Joakim, Hogan, Deirdre and van Genabith, Josef orcid:0000-0003-1322-7944 (2011) From news to comment: Resources and benchmarks for parsing the language of web 2.0. In: The 5th International Joint Conference on Natural Language Processing (IJCNLP), 08-13 Nov 2011, Chiang Mai, Thailand. ISBN 978-974-466-564-5 (2011)
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#hardtoparse: POS tagging and parsing the twitterverse
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In: Foster, Jennifer orcid:0000-0002-7789-4853 , Cetinoglu, Ozlem, Wagner, Joachim orcid:0000-0002-8290-3849 , Le Roux, Joseph, Hogan, Stephen, Nivre, Joakim, Hogan, Deirdre and van Genabith, Josef orcid:0000-0003-1322-7944 (2011) #hardtoparse: POS tagging and parsing the twitterverse. In: The AAAI-11 Workshop on Analyzing Microtext, 8 Aug 2011, San Francisco, CA. (2011)
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The integration of machine translation and translation memory
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He, Yifan. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2011. : Dublin City University. School of Computing, 2011
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In: He, Yifan (2011) The integration of machine translation and translation memory. PhD thesis, Dublin City University. (2011)
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Improving dependency label accuracy using statistical post-editing: A cross-framework study
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In: Cetinoglu, Ozlem, Bryl, Anton, Foster, Jennifer orcid:0000-0002-7789-4853 and van Genabith, Josef orcid:0000-0003-1322-7944 (2011) Improving dependency label accuracy using statistical post-editing: A cross-framework study. In: International Conference on Dependency Linguistics (DepLing), 5-7 Sept 2011, Barcelona, Spain. (2011)
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