Signal Processing and Speech Communication Laboratory
homestudent projects › Machine Translation with Deep Neural Networks

Machine Translation with Deep Neural Networks

Status
In work
Type
Master/Diploma Thesis
Seminar Type
- None -
Announcement date
11 Mar 2015
Mentors
Research Areas

Short Description


neural translation models

Your Tasks 

  • Redroduce and compare to state-of-the-art neural translation models
  • Extend existing models in Python and Theano (libary for GPU computing)
  • Analyze the implemented systems in terms of accuracy and computational performance

Your Profile 

  • Very good theoretical and mathmatical background (mandatory) 
  • Good knowledge in machine learning
  • Very good knowledge and experience in Python programming (mandatory)

Additional Information

As this work combines theoretical and experimental aspects of non-standard methods, a very good mathmatical and programming background is mandatory. This thesis project is planned for a duration of 6 months starting immediately. It has a good chance for publications.

Contact

Martin Ratajczak (martin.ratajczak@tugraz.at or +43 (316) 873 - 4379)

References

[1] D. Bahdanau, K. Cho, andY. Bengio. Neuralmachine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473, 2014

[2] I. Sutskever, O. Vinyals, Q. V. Le. Sequence to Sequence Learning with Neural Networks, 2014