We will be closed over the Christmas Break and will be back on the 2 January 2018.
Deadline: 30th Nov 2017
The Research Group in Computational Linguistics at University of Wolverhampton invites applications for a 3-year PhD studentships in the area of translation technology. This PhD studentship is part of a university investment which also includes the appointment of a senior lecturer, a research fellow and another PhD student with the aim to strengthen the existing research undertaken by members of the group in this area. This bursary consists of a stipend towards living expenses
(£14,500 per year) and remission of fees.
We invite applications in the area of translation technology defined in the broadest sense possible and ranging from advanced methods in machine translation to other ways of involving technology in the translation process. The proposals should focus on Natural Language Processing techniques for translation memory systems and translation tools in general. Given the current research interests of the group and its focus on computational approaches, we would be interested in topics including but not limited to:
- Enhancing retrieval and matching from translation memories with linguistic information
- The use of deep learning (and in general, statistical) techniques in translation memories
- (Machine) translation of user generated content
- The use of machine translation in cross-lingual applications
- Phraseology and computational treatment of multi-word expressions in machine translation and translation memory systems
- Quality estimation for translation professionals
Other topics will be also considered as long as they align with the interests of the group. The appointed student is expected to work on a project that has a significant computational component. For this reason we expect that the successful candidate will have good background in computer science and programming.
The application deadline is 30 November 2017 and the interviews will take place in the first half of December by Skype. The starting date of the PhD position is 1st Jan 2018 or any time as soon as possible after that.
A successful applicant must have:
- A good honours degree or equivalent in Computational Linguistics, Computer Science, Translation studies or Linguistics
- A strong programming and statistical / Mathematical background or closely related areas
- Experience in Computational Linguistics / Natural Language Processing, including at least some of the following Statistical Processing, Machine Learning and Deep Learning, applications to Natural Language Processing.
- Experience with translation technology
- Experience with programming languages such as Python, Java or R.
- If not native speaker a IELTS certificate with a score of 6.5. If a certificate is not available at the time of application, the successful candidate must be able to obtain it within one month from the offer being made.
Candidates from both UK/EU and non-EU can apply.
Applications must include:
- A curriculum vitae indicating degrees obtained, courses covered, publications, relevant work experience and names of two referees that could be contacted if necessary
- A research statement which outlines the topics of interest. More information about the expected structure of the research statement can be found at https://www.wlv.ac.uk/media/departments/star-office/documents/Guidelines-for-completion-of-Research-Statement.doc
Established by Prof Mitkov in 1998, the research group in Computational Linguistics delivers cutting-edge research in a number of NLP areas.
The results from the latest Research Evaluation Framework confirm the research group in Computational Linguistics as one of the top performers in UK research with its research defined as ‘internationally leading, internationally excellent and internationally recognised’. The research group has recently completed successfully the coordination of the EXPERT project a successful EC Marie Curie Initial Training Network promoting research, development and use of data-driven technologies in machine translation and translation technology (http://expert-itn.eu)
This post is being offered on a casual basis until 31 July 2017
The Research Group in Computational Linguistics at the University of Wolverhampton is currently recruiting a Research Associate to conduct research on the AUTOR project which aims to help people with Autism read and understand text better (for more info on this project, please visit http://autor4autism.com/).
As a Research Associate you will use relevant NLP technologies such as lexical, syntactic, and semantic processing to design and implement applications that can help AUTOR improve its core mission by developing educational assistance for people with autism.
You should hold a Bachelor’s or Master’s degree, but ideally a PhD in Information Science, Computer Science or Natural Language Processing and experience in software development or employment in these fields. You should have experience of language technologies and resources and be willing to work as part of an extended team to research computational linguistics approaches to support the development of education-assistance tools for people with autism. Knowledge of machine learning is required.
Interview dates to be confirmed. Start of the post to be agreed with the successful candidates. This is a temporary, zero hour contract.
For informal discussion about the role please contact Dr Victoria Yaneva (firstname.lastname@example.org).
For more information and how to apply online: click here
RGCL is proud to announce the new MSc in Practical Corpus Linguistics for ELT, Lexicography and Translation.
For more detail visit http://rgcl.wlv.ac.uk/macorling/.
Hi my name is Omid Rohanian and I arrived in Wolverhampton in December 2016 from Sharif University of Technology in Tehran, where I received my MSc in Computational Linguistics. Continue reading
AUTOR has made the front page of University of Wolverhampton’s new research newsletter ‘RESEARCH MATTERS’ – we are delighted and honoured.
The newsletter celebrates research success and opportunities at University of Wolverhampton.
For anyone wanting to know more about AUTOR or how you can get involved in this great research contact Dr Victoria Yaneva either via telephone on 01902 321630 or email email@example.com.
AUTOR’s development can be followed at: www.autor4autism.com.
We are happy to announce TM Cleaner , a software for identifying the translation units in translation memories or parallel corpora that contains segments that are not translations of each other. Continue reading
University of Wolverhampton has joined forces with The Black Country Local Enterprise Partnership and many other key stakeholders to establish the Black Country Smart City Network. The Network will be supported by the Black Country Local Enterprise Partnership and University of Wolverhampton who will undertake the organisation of meetings and providing a venue. Continue reading
EXPERT (EXPloiting Empirical appRoaches to Translation) was a Marie Curie FP7 Initial Training Network project with the aim of training young researchers, namely Early Stage Researchers (ESRs) and Experienced Researchers (ERs), to promote the research, development and use of hybrid language translation technologies. Continue reading