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Personal profile


I am currently a PhD candidate at the Department of Cognitive Science and Artificial Intelligence of Tilburg University. My PhD thesis titled “An NMT Framework based on Language Understanding”. It is divided into two main parts: i) will investigate neural machine translation for low-resource language, e.g. Persian, through cross-lingual knowledge transfer, and (ii) aims to delve into multilingual and multi-domain adaptation.

Before joining Tilburg University, I was a postgraduate member at Guilan NLP Group and a part-time lecturer at the Computer Engineering Department of the University of Guilan. I graduated with an MS degree in Software Engineering from the same university in 2019. During the master thesis, I worked on designing sentiment analysis models using deep learning architectures for low-resources corpora (case-study: Persian). 

Research interests

Some topics of interest to me are:

  • Machine translation
  • Multilingual and multi-domain domain adaptation for NMT
  • Sentiment analysis
  • Unsupervised language acquisition
  • Efficient algorithms for NLP

Current courses

Click here for my courses.


  • Machine Translation
  • Domain Adaptation
  • Quality Estimation
  • Data Selection
  • Deep learning
  • Sentiment Analysis


Dive into the research topics where Javad Pourmostafa Roshan Sharami is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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