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Project overview

EXPERT (EXPloiting Empirical appRoaches to Translation) aims to train young researchers, namely Early Stage Researchers (ESRs) and Experienced Researchers (ERs), to promote the research, development and use of hybrid language translation technologies. The overall objective of EXPERT is to provide innovative research and training in the field of Translation memory and Machine Translation Technologies to 15 Marie Curie Fellows:​

  • 12 PhD students (Early Stage Researchers - ESR) with 36 month contracts
  • 3 post-doctoral researchers (Experienced Researchers - ER) with one 24 month contract, and two 18 month contracts.


The Fellows will participate in an integrated research programme of 15 individual projects and also will have access to the training programme, which will consist of four large training events:

  1. Scientific and technological training
  2. Complementary skills training
  3. Scientific and technological workshop
  4. Business showcase


The main objectives of EXPERT are twofold:

  1. To improve existing corpus-based TM and MT technologies by addressing their well-known shortcomings via the use of more sophisticated levels of linguistic processing, terminology and domain knowledge, along with better consideration of user requirements and feedback, in order to improve translation quality and user satisfaction, and allow quick development for new language pairs, including resource-poor languages.
  2. To create hybrid technologies which incorporate the main features of corpus-based approaches, minimizing human translators’ effort and tailoring the system according to their needs, by allowing different levels of “assistance” to be provided in a user-friendly workflow.