Javad Pourmostafa Roshan Sharami

Sharami, J. P. R., Shterionov, D., Blain, F., Vanmassenhove, E., Sisto, M. D., Emmery, C., & Spronck, P. (Accepted/In press). Tailoring Domain Adaptation for Machine Translation Quality Estimation. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation

Murgolo, E., Sharami, J. P. R., & Shterionov, D. (2022). A Quality Estimation and Quality Evaluation Tool for the Translation Industry. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation (pp. 305-306). European Association for Machine Translation. https://aclanthology.org/2022.eamt-1.43

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.

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

Boluki, A., Pourmostafa Roshan Sharami, J., & Shterionov, D. (2024). Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews. In K. Arai (Ed.), Intelligent Systems and Applications (pp. 15-35). Springer Nature Switzerland AG.