MSc Projects

2009

Dan Harvey. Forecasting the belief of a population: Predicition Markets, Social Media and Swine Flu.

Ailun Yi. Stock Market Prediction Based on Public Attentions: a Social Web Mining Approach.

Benjamin Graf. Semi-Supervised Learning of Bayesian Language Models with Pitman-Yor Priors.

2008

Xiaoyang Yu. Estimating Language Models using Hadoop and HBase.

Giuseppe Gallone. Randomised Features in Discriminative Machine Learning.

Richard Tomsett. Density Weighted Canopy Clustering with Mahout.

2007

Abby Levenberg. Bloom Filter and Lossy Dictionary Based Language Models.

David Matthews. Machine Transliteration of Proper Names.

2006

On sabbatical, so no supervision this year.

2005

Lexi Birch-Mayne. Scalable Phrase-Based, Joint Probability Model for Statistical Machine Translation.

Zhang Jiefan. Model Search for Statistical Machine Translation.

Jeff Mitchell. Model search for SMT.

2004

Bjorn Nelson. Grammar Induction using Co-Training.

Kevin O'Connor. Tackling the Computational Complexity of Joint Probability Phrase-based Machine Translation.

Andreas Vlachos. Active Learning using Support Vector Machines.

2003

Wouter van Atteveldt. Information Extraction using Sequencing with Large Label Sets.

Siriwan Sereewattana. Unsupervised Segmentation for Statistical Machine Translation.

David Talbot. Learning Translations from Comparable Corpora.

2002

Beatrice Alex. Using Language Models to Assist in the Correction of Machine Translation Output.

Chris Callison-Burch. Co-training for Statistical Machine Translation .

Hanna Wallach. Efficient Training of Conditional Random Fields.

2001

Emma Dijkstra. Support Vector Machines for Parse Selection.

Louisa Ferrier. A Maximum Entropy Approach to Text Summarisation.

Mark McLauchlan. Maximum Entropy Models and Prepositional Phrase Ambiguity.

Jesper Salomon. Support Vector Machines for Phoneme Classification.