Research output per year
Research output per year
Personal profile
Career
Hi there! I’m Javad Pourmostafa /’dʒævɒd puːr’moʊs’tae’fɑː/!
I am currently a lecturer at the Department of Intelligent Systems, and affiliated with the Cognitive Science and Artificial Intelligence (CSAI) research center at Tilburg University.
I received my PhD on March 4, 2026, at Tilburg University. During my PhD, I studied how to make machine translation and quality estimation models more domain-specific, improving their robustness in specialized domains. My dissertation is available here.
Before joining Tilburg University, I was a postgraduate member of the Guilan NLP Group and a lecturer at the Computer Engineering Department of the University of Guilan. I earned my BSc and MSc degrees in Software Engineering in 2016 and 2019, respectively.
Research interests
My research mainly centralizes on natural language processing and deep learning.
Some topics of interest to me are:
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Machine Translation (MT)
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Multilingual and multi-domain domain adaptation for neural MT
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Quality Estimation
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Data Selection
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In-context Learning in LLMs for translation tasks
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Sentiment Analysis
Current courses
Click here for my courses.
Keywords
- Machine Translation
- Domain Adaptation
- Quality Estimation
- Data Selection
- Deep learning
- Sentiment Analysis
Fingerprint
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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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Tailoring Domain Adaptation for Machine Translation Quality Estimation
Sharami, J. P. R., Shterionov, D., Blain, F., Vanmassenhove, E., Sisto, M. D., Emmery, C. & Spronck, P., 18 Apr 2023, (Accepted/In press) Proceedings of the 24th Annual Conference of the European Association for Machine Translation. 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile111 Downloads (Pure) -
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
Pourmostafa Roshan Sharami, J., Shterionov, D. & Spronck, P., 1 Sept 2024, Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track). Knowles, R., Eriguchi, A. & Goel, S. (eds.). Chicago, USA: Association for Machine Translation in the Americas, p. 88-101 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile33 Downloads (Pure) -
Toward domain-specific machine translation and quality estimation systems
Pourmostafa Roshan Sharami, J., 2026, Ridderprint. 234 p.Research output: Thesis › Doctoral Thesis
Open AccessFile13 Downloads (Pure) -
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
Pourmostafa Roshan Sharami, J., Shterionov, D. & Spronck, P., Dec 2021, In: Computational Linguistics in the Netherlands Journal. 11, p. 213-230 18 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
DeepSentiPers - Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
PourMostafa Roshan Sharami, J., Sarabestani, P. A. & Mirroshandel, S. A., 1 Apr 2020Research output: Other contribution
Projects
- 1 Finished
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MTQA: Machine Translation Quality Assessment
Pourmostafa Roshan Sharami, J. (Researcher), Shterionov, D. (Principal Investigator) & Murgolo, E. (Contact)
10/01/22 → 10/08/22
Project: Research project
Press/Media
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How to Improve Machine Translation Quality Evaluation with Domain-Specific Data
Pourmostafa Roshan Sharami, J., Shterionov, D., Blain, F., Vanmassenhove, E., De Sisto, M., Emmery, C. & Spronck, P.
26/04/23
1 item of Media coverage
Press/Media: Expert Comment