DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus. - Javad PourMostafa Roshan Sharami; Parsa Abbasi Sarabestani; Seyed Abolghasem Mirroshandel (CoRR, 2020)

Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts. - Javad PourMostafa Roshan Sharami; Dimitar Shterionov; Pieter Spronck (CoRR, 2021)

A Quality Estimation and Quality Evaluation Tool for the Translation Industry. - Elena Murgolo; Javad PourMostafa Roshan Sharami; Dimitar Shterionov (EAMT, 2022)

Tailoring Domain Adaptation for Machine Translation Quality Estimation. - Javad PourMostafa Roshan Sharami; Dimitar Shterionov; Frédéric Blain; Eva Vanmassenhove; Mirella De Sisto; Chris Emmery; Pieter Spronck (EAMT, 2023)

Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews. - Ali Boluki; Javad PourMostafa Roshan Sharami; Dimitar Shterionov (CoRR, 2023)

A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation. - Javad PourMostafa Roshan Sharami; Dimitar Shterionov; Pieter Spronck (CoRR, 2023)

Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation. - Javad PourMostafa Roshan Sharami; Dimitar Shterionov; Pieter Spronck (AMTA (1), 2024)

Improving Medical Waste Classification with Hybrid Capsule Networks. - Bennet van den Broek; Javad PourMostafa Roshan Sharami (CoRR, 2025)