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Miles Osborne :
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Chris Callison-Burch , David Talbot , Miles Osborne Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora. [Citation Graph (0, 0)][DBLP ] ACL, 2004, pp:175-182 [Conf ] Trevor Cohn , Andrew Smith , Miles Osborne Scaling Conditional Random Fields Using Error-Correcting Codes. [Citation Graph (0, 0)][DBLP ] ACL, 2005, pp:- [Conf ] Andrew Smith , Trevor Cohn , Miles Osborne Logarithmic Opinion Pools for Conditional Random Fields. [Citation Graph (0, 0)][DBLP ] ACL, 2005, pp:- [Conf ] David Talbot , Miles Osborne Modelling Lexical Redundancy for Machine Translation. [Citation Graph (0, 0)][DBLP ] ACL, 2006, pp:- [Conf ] Iain Bancarz , Miles Osborne Improved Iterative Scaling Can Yield Multiple Globally Optimal Models with Radically Differing Performance Levels. [Citation Graph (0, 0)][DBLP ] COLING, 2002, pp:- [Conf ] Miles Osborne Estimation of Stochastic Attribute-Value Grammars using an Informative Sample. [Citation Graph (0, 0)][DBLP ] COLING, 2000, pp:586-592 [Conf ] Chris Callison-Burch , Miles Osborne , Philipp Koehn Re-evaluation the Role of Bleu in Machine Translation Research. [Citation Graph (0, 0)][DBLP ] EACL, 2006, pp:- [Conf ] Mark Steedman , Anoop Sarkar , Miles Osborne , Rebecca Hwa , Stephen Clark , Julia Hockenmaier , Paul Ruhlen , Steven Baker , Jeremiah Crim Bootstrapping statistical parsers from small datasets. [Citation Graph (0, 0)][DBLP ] EACL, 2003, pp:331-338 [Conf ] Miles Osborne , Derek G. Bridge Learning Unification-Based Grammars Using the Spoken English Corpus. [Citation Graph (0, 0)][DBLP ] ICGI, 1994, pp:260-270 [Conf ] Miles Osborne , C. K. MacNish Processing Natural Language Software Requirement Specifications. [Citation Graph (0, 0)][DBLP ] ICRE, 1996, pp:229-237 [Conf ] Markus Becker , Miles Osborne A Two-Stage Method for Active Learning of Statistical Grammars. [Citation Graph (0, 0)][DBLP ] IJCAI, 2005, pp:991-996 [Conf ] Miles Osborne Can punctuation help learning? [Citation Graph (0, 0)][DBLP ] Learning for Natural Language Processing, 1995, pp:399-412 [Conf ] Andrew Smith , Miles Osborne Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free. [Citation Graph (0, 0)][DBLP ] IJCNLP, 2005, pp:896-907 [Conf ] Miles Osborne DCG Induction Using MDL and Pased Corpora. [Citation Graph (0, 0)][DBLP ] Learning Language in Logic, 1999, pp:184-198 [Conf ] Miles Osborne , Jason Baldridge Ensemble-based Active Learning for Parse Selection. [Citation Graph (0, 0)][DBLP ] HLT-NAACL, 2004, pp:89-96 [Conf ] Mark Steedman , Rebecca Hwa , Stephen Clark , Miles Osborne , Anoop Sarkar , Julia Hockenmaier , Paul Ruhlen , Steven Baker , Jeremiah Crim Example Selection for Bootstrapping Statistical Parsers. [Citation Graph (0, 0)][DBLP ] HLT-NAACL, 2003, pp:- [Conf ] Chris Callison-Burch , Philipp Koehn , Miles Osborne Improved Statistical Machine Translation Using Paraphrases. [Citation Graph (0, 0)][DBLP ] HLT-NAACL, 2006, pp:- [Conf ] Miles Osborne , Mark Cuminskey , Gail Sinclair , Matthew Smillie , Bonnie L. Webber , Jeffrey T. Chang , Nipun Mehra , Veronica Rotemberg , Russ B. Altman Edinburgh-Stanford TREC-2003 Genomics Track. [Citation Graph (0, 0)][DBLP ] TREC, 2003, pp:622-630 [Conf ] Miles Osborne Learning Unification-Based Natural Language Grammars [Citation Graph (0, 0)][DBLP ] CoRR, 1995, v:0, n:, pp:- [Journal ] Miles Osborne Estimation of Stochastic Attribute-Value Grammars using an Informative Sample [Citation Graph (0, 0)][DBLP ] CoRR, 2000, v:0, n:, pp:- [Journal ] John Nerbonne , Anja Belz , Nicola Cancedda , Hervé Déjean , James Hammerton , Rob Koeling , Stasinos Konstantopoulos , Miles Osborne , Franck Thollard , Erik F. Tjong Kim Sang Learning Computational Grammars [Citation Graph (0, 0)][DBLP ] CoRR, 2001, v:0, n:, pp:- [Journal ] James Hammerton , Miles Osborne , Susan Armstrong , Walter Daelemans Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2002, v:2, n:, pp:551-558 [Journal ] Miles Osborne Shallow Parsing using Noisy and Non-Stationary Training Material. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2002, v:2, n:, pp:695-719 [Journal ] Randomised Language Modelling for Statistical Machine Translation. [Citation Graph (, )][DBLP ] A Discriminative Latent Variable Model for Statistical Machine Translation. [Citation Graph (, )][DBLP ] Bayesian Synchronous Grammar Induction. [Citation Graph (, )][DBLP ] Predicting Success in Machine Translation. [Citation Graph (, )][DBLP ] Probabilistic Inference for Machine Translation. [Citation Graph (, )][DBLP ] Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap. [Citation Graph (, )][DBLP ] Stream-based Randomised Language Models for SMT. [Citation Graph (, )][DBLP ] Active Learning and the Total Cost of Annotation. [Citation Graph (, )][DBLP ] Search in 0.021secs, Finished in 0.023secs