Who will teach you on this course?

The researchers leading the course are international experts in their fields.

Dr. Michael Oakes
Course Leader and Reader in Computational Linguistics

Dr Oakes was the Principal Investigator at the University of Sunderland on the EU-funded VITALAS project, working on the text retrieval aspects of a multi-media search engine. He has successfully supervised 7 PhD students to completion as the main supervisor. The majority of these theses were in the field of information retrieval. At present, he is supervising 4 other PhD students and is the course leader for our other MA programme in Language and Information Processing (MA LIP). He is currently researching the authorship of C. S. Lewis’ “The Dark Tower”, and performing a statistical analysis of the Indus script. In addition, Dr Oakes is the sole author of two textbooks, called “Statistics for Corpus Linguistics” and “Literary Detective Work on the Computer”, published by Edinburgh University Press and John Benjamins respectively. With Meng Ji of the University of Sydney, he co-edited two other books: “Quantitative Methods in Corpus-Based Translation Studies” (published by John Benjamins) and “Corpus Methodologies Explained: An Empirical Approach to Translation Studies” (published by Routledge).

Modules: Computational Linguistics; Corpus Linguistics with R.

Dr. Emad Mohammed
Senior Lecturer in Computational Linguistics & Translation Technology 

Dr Mohammed has published on morphological analysis, dependency parsing, machine translation, corpus linguistics, cultural analytics and machine learning for natural Language Processing. He also has industrial experience in NLP for the medical field. Dr Mohammed has previously taught Introduction to Computational Linguistics and Introduction to Corpus Linguistics. Dr Mohammed is the PI of the project Arabic Cultural Analytics, which seeks to build NLP and Network Analysis tools for Early Modern Arabic.

Modules: Translation Technology; Research Methods and Professional Skills.

Dr. Sara Moze
Lecturer in Computational Lexicology 

Dr Moze specializes in Corpus Linguistics, Mono- and Bilingual Lexicography, Frame Semantics, and Translation Studies, and has 10 years of research experience working in the development of corpus-driven methodologies, annotation schemes, tools, dictionaries, pedagogical grammars and other linguistic resources for various languages. She is one of the main researchers working on the ‘Pattern Dictionary of English Verbs’, which is currently being developed at RIILP under the guidance of Prof. Hanks. She has also co-authored a book titled ‘Analysing Student Language Problems: A Corpus-based Approach’, which focuses on the application of corpus linguistic methods to language teaching.

Modules: Computational Linguistics.

Dr. Burcu Can
Reader in Computational Linguistics

Dr Burcu Can is a Reader in Computational Linguistics. Her research interests include: Computational linguistics (morphology, syntax, semantics), machine learning models for natural language processing (unsupervised learning, Bayesian models, neural networks, joint learning), representation learning, natural language processing for resource-scarce and agglutinative languages (e.g. Turkish) 

Module: Machine Learning

Dr. Frédéric Blain
Reader in Computational Linguistics

Dr Frédéric Blain is a Senior Lecturer of Translation Technology. His Research Interests include: Quality Estimation and Evaluation, Translation Technology (especially Machine Translation and Computer Aided Translation), Natural Language Processing, Lifelong Learning and Deep Learning.

Module: Translation Technology

Dr. Raheem Sarwar
Lecturer in Natural Language Processing

Dr Raheem Sarwar is a lecturer in Natural Language Processing. His research interests include Author Profiling, Information Retrieval, Multi-label Classification, Data Mining, Authorship Analysis and Natural Language Processing for Low-Resource Languages.

Module: Python Programming

Guest lectures will be given by Prof. Patrick Hanks, a world authority in Lexicography, and Prof. Ruslan Mitkov, Director of the Research Institute of Information and Language Processing, Editor of the “Oxford Handbook of Natural Language Processing” and Executive Editor of the Cambridge Journal “Natural Language Engineering”.