The Department of Computer Science has a position for a Research Associate in Machine Translation. This position is funded by the H2020 QT21 project, a major European Machine Translation (MT) research and innovation initiative including 11 universities and research institutions (DFKI, RWTH, University of Amsterdam, DCU, University of Edinburgh, KIT, CNRS, Charles University, FBK, HKUST, and University of Sheffield) and 3 industry partners (TAUS, text&form, TILDE).
QT21 is aimed at improving MT for challenging European language pairs, focusing on morphologically rich and syntactically divergent languages and languages that are under-resourced.
At the University of Sheffield, the project is led by Dr Lucia Specia ( www.dcs.shef.ac.uk/~lucia). Our role in the project will contribute to two of the project goals: (a) translation models for under-resourced and morphologically complex languages that model tokens as decompositions of feature bundles supporting better abstraction and generalisation over the data, together with joint modelling of morpho-syntactic information Deep Learning and RNN-based approaches to explore less-supervised settings, as well as the use of monolingual data only to deal with scarcity of training resources; and (b) machine learning-based approaches that can learn from their own mistakes to continuously improve over time through human informed evaluation, including semantically informed automatic evaluation for better tuning of MT.
The post holder will work on discriminative training algorithms with sparse and heterogeneous features and transfer learning from related languages, as well as discourse-wide decoding algorithms. The research will build upon Dr Specia's and her team’s previous work within projects such as QTLaunchPad ( www.qt21.eu/launchpad) & MODIST ( www.dcs.shef.ac.uk/~lucia/projects/modist.html).
Applicants should have:
- PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas - Knowledge and experience in Natural Language Processing - Knowledge and experience in Machine Translation, particularly decoding algorithms - Knowledge and experience in machine learning. - Programming experience, e.g., in C++ , Java, Perl/Python
This post is fixed-term with a start date from February 2015 (the earlier possible) and duration of up to 32 months with an end date of 30 August 2017.
Salary range: £29,552 to £37,394 per annum.
For informal inquiries contact Dr. Lucia Specia: L.Specia at sheffield.ac.uk
For more information about the post and for applications: http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS009891
Closing date: 30 January 2015.
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