Scope: Project MT4M aims to develop state of the art technologies for Machine Translation in Microblogs, such as Twitter and Facebook. Therefore, methods must be developed in the scope of the open position to address the unpredictability and originality of text in this environment. Topics include normalization techniques to convert the input into more standard forms, the usage of continuous space models that are more robust to word variations and the development of MT evaluation techniques suited to this domain.
Required education Level and research experience: The candidate should have a Masters (mestre) degree on Electrical and Computer Engineering or in Computer Science, with certified qualifications on machine translation (MT) technologies.
Workplace and scientific supervision: The activity will be supervised by Prof. Isabel Trancoso, coordinator of the project MT4M. The grantee will be integrated at the Spoken Language Systems Lab of INESC-ID. The project will have as partners Carnegie Mellon University, represented by Prof. Chris Dyer, and Unbabel, represented by Dr. João Graça.
Duration: 10 months, from January 2015.
Application Dates: From November 10 to November 30, 2014.
Documents to be submitted: Curriculum vitae; motivation letter; copy of academic study certificates; name of two personal references. The applications should be submitted via email to Isabel dot Trancoso at inesc-id dot pt
For more details: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=51322
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