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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Efficient techniques for streaming cross document coreference resolution Shrimpton, Luke William. - : The University of Edinburgh, 2017 BASE Show details 2 Learning to hash for large scale image retrieval Moran, Sean James. - : The University of Edinburgh, 2016 BASE Show details 3 Real-time detection, tracking, and monitoring of automatically discovered events in social media Osborne, Miles; Moran, Sean; Mccreadie, Richard. - 2014 BASE Show details 4 Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media von Lunen, Alexander; McCreadie, Richard; Ciravegna, Fabio. - : Association for Computational Linguistics, 2014 BASE Show details 5 Introducing corpus-based rules and algorithms in a rule-based machine translation system Dugast, Loic. - : The University of Edinburgh, 2013 BASE Show details 6 Real-time event detection in massive streams Petrovic, Sasa. - : The University of Edinburgh, 2013 BASE Show details 7 Opinion Retrieval in Twitter Luo, Zhunchen; Osborne, Miles; Wang, Ting In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 6 No. 1 (2012): Sixth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2012) BASE Show details 8 Improving statistical machine translation with linguistic information Hoang, Hieu. - : The University of Edinburgh, 2011 BASE Show details 9 Reordering metrics for statistical machine translation Birch, Alexandra. - : The University of Edinburgh, 2011 Abstract: Natural languages display a great variety of different word orders, and one of the major challenges facing statistical machine translation is in modelling these differences. This thesis is motivated by a survey of 110 different language pairs drawn from the Europarl project, which shows that word order differences account for more variation in translation performance than any other factor. This wide ranging analysis provides compelling evidence for the importance of research into reordering. There has already been a great deal of research into improving the quality of the word order in machine translation output. However, there has been very little analysis of how best to evaluate this research. Current machine translation metrics are largely focused on evaluating the words used in translations, and their ability to measure the quality of word order has not been demonstrated. In this thesis we introduce novel metrics for quantitatively evaluating reordering. Our approach isolates the word order in translations by using word alignments. We reduce alignment information to permutations and apply standard distance metrics to compare the word order in the reference to that of the translation. We show that our metrics correlate more strongly with human judgements of word order quality than current machine translation metrics. We also show that a combined lexical and reordering metric, the LRscore, is useful for training translation model parameters. Humans prefer the output of models trained using the LRscore as the objective function, over those trained with the de facto standard translation metric, the BLEU score. The LRscore thus provides researchers with a reliable metric for evaluating the impact of their research on the quality of word order. Keyword: metrics; standard distance metrics; statistical machine translation; word order URL: http://hdl.handle.net/1842/5024 BASE Hide details 10 Stream-based statistical machine translation Levenberg, Abby D.. - : The University of Edinburgh, 2011 BASE Show details 11 Cyril Goutte, Nicola Cancedda, Marc Dymetman, George Foster (eds.): Learning Machine Translation [Rezension] Osborne, Miles In: Natural language engineering. - Cambridge : Cambridge University Press 16 (2010) 1, 99-100 BLLDB OLC Linguistik Show details 12 Metrics for MT evaluation: evaluating reordering Blunsom, Phil; Birch, Alexandra; Osborne, Miles In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 1, 15-26 BLLDB OLC Linguistik Show details 13 Machine Translation for Twitter Jehl, Laura Elisabeth. - : The University of Edinburgh, 2010 BASE Show details 14 Automatic recognition of multiparty human interactions using dynamic Bayesian networks Dielmann, Alfred. - : The University of Edinburgh, 2009 BASE Show details 15 Wide-coverage parsing for Turkish Çakici, Ruket. - : The University of Edinburgh, 2009 BASE Show details 16 Active learning and logarithmic opinion pools for HPSG parse selection Osborne, Miles; Baldridge, Jason In: Natural language engineering. - Cambridge : Cambridge University Press 14 (2008) 2, 191-222 BLLDB OLC Linguistik Show details 17 Diversity in logarithmic opinion pools Smith, Andrew; Osborne, Miles In: Lingvisticae investigationes. - Amsterdam : Benjamins 30 (2007) 1, 27-47 BLLDB Show details 18 Re-evaluating the role of BLEU in machine translation research Callison-Burch, Chris; Osborne, Miles; Koehn, Philipp In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 11 (2006), 249-256 BLLDB Show details 19 Logarithmic Opinion Pools for Conditional Random Fields SMITH, ANDREW; COHN, TREVOR; OSBORNE, MILES. - 2005 BASE Show details 20 Scaling conditional random fields using error correcting codes OSBORNE, MILES; COHN, TREVOR; SMITH, ANDREW. - 2005 BASE Show details Page: 1 2

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