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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 3 Hits 1 – 20 of 53 1 Using paraphrases for improving first story detection in news and twitter Miles Osborne; Victor Lavrenko In: http://homepages.inf.ed.ac.uk/miles/papers/naacl12.pdf (2012) BASE Show details 2 Opinion retrieval in twitter Zhunchen Luo; Miles Osborne; Ting Wang In: http://homepages.inf.ed.ac.uk/miles/papers/icwsm12.pdf (2012) BASE Show details 3 Using paraphrases for improving first story detection in news and twitter Miles Osborne; Victor Lavrenko In: http://www.aclweb.org/anthology-new/N/N12/N12-1034.pdf (2012) BASE Show details 4 Constructing parallel corpora for six indian languages via crowdsourcing Matt Post; Chris Callison-burch; Miles Osborne In: http://www.aclweb.org/anthology/W12-3152/ (2012) BASE Show details 5 LRscore for evaluating lexical and reordering quality Alexandra Birch; Miles Osborne In: http://aclweb.org/anthology-new/W/W10/W10-1749.pdf (2010) BASE Show details 6 LRscore for evaluating lexical and reordering quality Alexandra Birch; Miles Osborne In: http://www.mt-archive.info/WMT-2010-Birch.pdf (2010) BASE Show details 7 A Gibbs sampler for phrasal synchronous grammar induction Phil Blunsom; Chris Dyer; Trevor Cohn... In: http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP088.pdf (2009) BASE Show details 8 Bayesian synchronous grammar induction Phil Blunsom; Trevor Cohn; Miles Osborne In: http://books.nips.cc/papers/files/nips21/NIPS2008_0238.pdf (2008) BASE Show details 9 Modelling lexical redundancy for machine translation David Talbot; Miles Osborne In: http://www.mt-archive.info/Coling-ACL-2006-Talbot.pdf (2006) BASE Show details 10 Modelling lexical redundancy for machine translation David Talbot; Miles Osborne In: http://acl.ldc.upenn.edu/P/P06/P06-1122.pdf (2006) BASE Show details 11 Modelling lexical redundancy for machine translation David Talbot; Miles Osborne In: http://www.iccs.informatics.ed.ac.uk/~osborne/papers/acl06.pdf (2006) BASE Show details 12 Constraining the phrase-based, joint probability statistical translation model Alexandra Birch; Chris Callison-burch; Miles Osborne In: http://www.mt-archive.info/HLT-NAACL-2006-Birch.pdf (2006) BASE Show details 13 Constraining the Phrase-Based, Joint Probability Statistical Translation Model Alexandra Birch; Chris Callison-Burch; Miles Osborne... In: http://www.statmt.org/wmt06/proceedings/pdf/WMT23.pdf (2006) BASE Show details 14 1 Statistical Natural Language Processing Ali Farghaly; Chris Callison-burch; Miles Osborne In: http://www-csli.stanford.edu/~ccb/publications/statistical-natural-language-processing-chapter.pdf (2003) BASE Show details 15 Statistical Natural Language Processing Ali Farghaly; Chris Callison-Burch; Miles Osborne In: http://www.cogsci.ed.ac.uk/~osborne/csli.pdf (2003) BASE Show details 16 Using Language Models to Assist in the Correction of Machine Translation Output Beatrice Alex; Supervisors Donnla; Nic Gerailt... In: http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/archive/dissertations/2001-2/beatrice_alex.pdf (2002) BASE Show details 17 Shallow Parsing with PoS Taggers and Linguistic Features Beáta Megyesi; James Hammerton; Miles Osborne... In: http://www.ai.mit.edu/projects/jmlr/papers/volume2/megyesi02a/megyesi02a.pdf (2002) BASE Show details 18 Memory-Based Shallow Parsing Erik F. Tjong Kim Sang; James Hammerton; Miles Osborne... In: http://cnts.uia.ac.be/cnts/papers/./ps/20020417.4146.jmlr2002.ps (2002) BASE Show details 19 Memory-based Shallow Parsing Erik F. Tjong Kim Sang; James Hammerton; Miles Osborne... In: http://jmlr.csail.mit.edu/papers/volume2/tks02a/tks02a.pdf (2002) BASE Show details 20 Using Language Models to Assist in the Correction Of Machine Translation Output Beatrice Alex; Supervisors Donnla; Nic Gerailt; Miles Osborne In: http://www.cogsci.ed.ac.uk/~osborne/msc-projects/alex.ps.gz (2002) Abstract: Machine translation (MT) systems are renowned for making many translation errors. Spotting such errors can be a time-consuming and labour-intensive process which makes automatic evaluation and correction of MT output highly desirable for both system developers and end-users. Based on the novel approach of using statistical language models to assess the quality of MT, the main aim of this project is to automatically spot sentences containing translation errors in the output of a commercial MT system by means of N-gram models built from a target language corpus. This method, which is presented in this MSc dissertation, aims to differentiate between good- and bad-quality translations of sentences in terms of the cross entropy scores produced by the language model. The cross entropy values assigned to a set of known good-quality human-written sentences translations will be used as a reference point in the pilot experiment. Issues such as sentence length and the occurrence of unseen events in the test data will be addressed and the behaviour of various language modeling parameters, including the N-gram order, the smoothing technique, the amount of training data and the vocabulary size, will be investigated. URL: http://www.cogsci.ed.ac.uk/~osborne/msc-projects/alex.ps.gz http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.2840 BASE Hide details Page: 1 2 3

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