Bio

I am currently a PhD candidate at the Department of Cognitive Science and Artificial Intelligence of Tilburg University. My PhD thesis 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).

Courses

Top publications

  1. Selecting Parallel In-domain Sentences for Neural Machine Translation…

    Pourmostafa Roshan Sharami, J., Shterionov, D., & Spronck, P. (2021). Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts. Computational Linguistics in the Netherlands Journal, 11, 213-230.
  2. A Novel Pipeline for Domain Detection and Selecting In-domain Sentenc…

    Pourmostafa Roshan Sharami, J., Shterionov, D., & Spronck, P. (2021). A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems. Poster session presented at The 31st Meeting of Computational Linguistics in The Netherlands (CLIN 31), Ghent, Belgium.
  3. DeepSentiPers - Novel Deep Learning Models Trained Over Proposed Augm…

    PourMostafa Roshan Sharami, J., Sarabestani, P. A., & Mirroshandel, S. A. (2020, Apr 1). DeepSentiPers - Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus. https://arxiv.org/abs/2004.05328

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