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Parsing Arabic using treebank-based LFG resources
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In: Tounsi, Lamia, Attia, Mohammed and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) Parsing Arabic using treebank-based LFG resources. In: Lexical Functional Grammar 2009, 13-16 July 2009, Cambridge, UK. (2009)
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| 82 |
Experiments on domain adaptation for English-Hindi SMT
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Naskar, Sudip Kumar, van Genabith, Josef orcid:0000-0003-1322-7944 and Way, Andy orcid:0000-0001-5736-5930 (2009) Experiments on domain adaptation for English-Hindi SMT. In: PACLIC 23 - the 23rd Pacific Asia Conference on Language, Information and Computation, 3-5 December 2009, Hong Kong. (2009)
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| 83 |
Dependency parsing resources for French: Converting acquired lexical functional grammar F-Structure annotations and parsing F-Structures directly
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In: Schluter, Natalie and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) Dependency parsing resources for French: Converting acquired lexical functional grammar F-Structure annotations and parsing F-Structures directly. In: Nodalida 2009 Conference, 14 - 16 May 2009, Odense, Denmark. (2009)
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| 84 |
Treebank-based acquisition of Chinese LFG resources for parsing and generation
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Guo, Yuqing. - : Dublin City University. School of Computing, 2009
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In: Guo, Yuqing (2009) Treebank-based acquisition of Chinese LFG resources for parsing and generation. PhD thesis, Dublin City University. (2009)
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| 85 |
F-structure transfer-based statistical machine translation
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In: Graham, Yvette, van Genabith, Josef orcid:0000-0003-1322-7944 and Bryl, Anton (2009) F-structure transfer-based statistical machine translation. In: Lexical Functional Grammar 2009, 13-16 July 2009, Cambridge, UK. (2009)
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| 86 |
Automatic acquisition of LFG resources for German - as good as it gets
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In: Rehbein, Ines and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) Automatic acquisition of LFG resources for German - as good as it gets. In: Lexical Functional Grammar 2009, 13-16 July 2009, Cambridge, UK. (2009)
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| 87 |
Part-of-speech tagging and partial parsing for Irish using finite-state transducers and constraint grammar
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In: Uí Dhonnchadha, Elaine (2009) Part-of-speech tagging and partial parsing for Irish using finite-state transducers and constraint grammar. PhD thesis, Dublin City University. (2009)
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| 88 |
Automatic treebank-based acquisition of Arabic LFG dependency structures
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In: Tounsi, Lamia, Attia, Mohammed and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) Automatic treebank-based acquisition of Arabic LFG dependency structures. In: EACL 2009 Workshop on Computational Approaches to Semitic Languages, 31 March 2009, Athens, Greece. (2009)
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| 89 |
Treebank-based grammar acquisition for German
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Rehbein, Ines. - : Dublin City University. National Centre for Language Technology (NCLT), 2009. : Dublin City University. School of Computing, 2009
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In: Rehbein, Ines (2009) Treebank-based grammar acquisition for German. PhD thesis, Dublin City University. (2009)
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| 90 |
Judging grammaticality: experiments in sentence classification
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In: Wagner, Joachim orcid:0000-0002-8290-3849 , Foster, Jennifer orcid:0000-0002-7789-4853 and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) Judging grammaticality: experiments in sentence classification. CALICO Journal, 26 (3). pp. 474-490. ISSN 0742-7778 (2009)
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| 91 |
A hybrid filtering approach for question answering
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In: Adafre, Sisay Fissaha and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) A hybrid filtering approach for question answering. In: LFG-09 - 14th International Lexical Functional Grammar Conference, 13-16 July 2009, Cambridge, UK. (2009)
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| 92 |
Towards a machine-learning architecture for lexical functional grammar parsing
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In: Chrupała, Grzegorz (2008) Towards a machine-learning architecture for lexical functional grammar parsing. PhD thesis, Dublin City University. (2008)
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| 93 |
Adapting a WSJ-trained parser to grammatically noisy text
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In: Foster, Jennifer orcid:0000-0002-7789-4853 , Wagner, Joachim orcid:0000-0002-8290-3849 and van Genabith, Josef (2008) Adapting a WSJ-trained parser to grammatically noisy text. In: ACL-08:HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 15-20 June 2008, Columbus, USA. (2008)
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| 94 |
Treebank-based acquisition of LFG parsing resources for French
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In: Schluter, Natalie and van Genabith, Josef (2008) Treebank-based acquisition of LFG parsing resources for French. In: the Sixth International Language Resources and Evaluation Conference (LREC'08), May 28-30, 2008, Marrakech, Morocco. (2008)
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| 95 |
Accurate and robust LFG-based generation for Chinese
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In: Guo, Yuqing, Wang, Haifeng and van Genabith, Josef (2008) Accurate and robust LFG-based generation for Chinese. In: INLG 08 - 5th International Natural Language Generation Conference, 12-14 June 2008, Salt Fork, Ohio, USA. (2008)
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| 96 |
Packed rules for automatic transfer-rule induction
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In: Graham, Yvette and van Genabith, Josef (2008) Packed rules for automatic transfer-rule induction. In: the European Association of Machine Translation Conference 2008, Hamburg, Germany. (2008)
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| 97 |
Exploiting multi-word units in statistical parsing and generation
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In: Cafferkey, Conor (2008) Exploiting multi-word units in statistical parsing and generation. Master of Science thesis, Dublin City University. (2008)
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| 98 |
Wide-coverage deep statistical parsing using automatic dependency structure annotation
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In: Cahill, Aoife orcid:0000-0002-3519-7726 , Burke, Michael, O'Donovan, Ruth, Riezler, Stefan, van Genabith, Josef orcid:0000-0003-1322-7944 and Way, Andy orcid:0000-0001-5736-5930 (2008) Wide-coverage deep statistical parsing using automatic dependency structure annotation. Computational Linguistics, 34 (1). pp. 81-124. (2008)
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A novel dependency-based evaluation metric for machine translation
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In: Owczarzak, Karolina (2008) A novel dependency-based evaluation metric for machine translation. PhD thesis, Dublin City University. (2008)
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Abstract:
Automatic evaluation measures such as BLEU (Papineni et al. (2002)) and NIST (Doddington (2002)) are indispensable in the development of Machine Translation (MT) systems, because they allow MT developers to conduct frequent, fast, and cost-effective evaluations of their evolving translation models. However, most of the automatic evaluation metrics rely on a comparison of word strings, measuring only the surface similarity of the candidate and reference translations, and will penalize any divergence. In effect,a candidate translation expressing the source meaning accurately and fluently will be given a low score if the lexical and syntactic choices it contains, even though perfectly legitimate, are not present in at least one of the references. Necessarily, this score would differ from a much more favourable human judgment that such a translation would receive. This thesis presents a method that automatically evaluates the quality of translation based on the labelled dependency structure of the sentence, rather than on its surface form. Dependencies abstract away from the some of the particulars of the surface string realization and provide a more "normalized" representation of (some) syntactic variants of a given sentence. The translation and reference files are analyzed by a treebank-based, probabilistic Lexical-Functional Grammar (LFG) parser (Cahill et al. (2004)) for English, which produces a set of dependency triples for each input. The translation set is compared to the reference set, and the number of matches is calculated, giving the precision, recall, and f-score for that particular translation. The use of WordNet synonyms and partial matching during the evaluation process allows for adequate treatment of lexical variation, while employing a number of best parses helps neutralize the noise introduced during the parsing stage. The dependency-based method is compared against a number of other popular MT evaluation metrics, including BLEU, NIST, GTM (Turian et al. (2003)), TER (Snover et al. (2006)), and METEOR (Banerjee and Lavie (2005)), in terms of segment- and system-level correlations with human judgments of fluency and adequacy. We also examine whether it shows bias towards statistical MT models. The comparison of the dependency-based method with other evaluation metrics is then extended to languages other than English: French, German, Spanish, and Japanese, where we apply our method to dependencies generated by Microsoft's NLPWin analyzer (Corston-Oliver and Dolan (1999); Heidorn (2000)) as well as, in the case of the Spanish data, those produced by the treebank-based, probabilistic LFG parser of Chrupa la and van Genabith (2006a,b).
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Keyword:
Machine translating
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URL: http://doras.dcu.ie/484/
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| 100 |
Parser evaluation and the BNC: evaluating 4 constituency parsers with 3 metrics
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In: Foster, Jennifer orcid:0000-0002-7789-4853 and van Genabith, Josef (2008) Parser evaluation and the BNC: evaluating 4 constituency parsers with 3 metrics. In: LREC 2008 - Sixth International Conference on Language Resources and Evaluation, 28-30 May 2008, Marrakech, Morocco. (2008)
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