Research output per year
Research output per year
Personal profile
Career
I’m a Ph.D. candidate and lecturer at the Department of Cognitive Science and Artificial Intelligence (CSAI) of Tilburg University. My Ph.D. project focuses on domain-specific machine translation and quality estimation systems.
Before joining Tilburg University, I was a postgraduate member of the Guilan NLP Group and a part-time lecturer at the Computer Engineering Department of the University of Guilan. I earned my BSc and MSc 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
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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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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 AccessFile1 Downloads (Pure) -
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 AccessFile61 Downloads (Pure) -
A Quality Estimation and Quality Evaluation Tool for the Translation Industry
Murgolo, E., Sharami, J. P. R. & Shterionov, D., 1 Jun 2022, Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. Ghent, Belgium: European Association for Machine Translation, p. 305-306 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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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 -
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
Boluki, A., Pourmostafa Roshan Sharami, J. & Shterionov, D., 14 Feb 2024, Intelligent Systems and Applications. Arai, K. (ed.). Cham: Springer Nature Switzerland AG, p. 15-35 21 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
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