Toward domain-specific machine translation and quality estimation systems
Javad Pourmostafa Roshan Sharami
arXiv preprint arXiv:2603.24955 · 2026
Improving Medical Waste Classification with Hybrid Capsule Networks
Bennet van den Broek and Javad Pourmostafa Roshan Sharami
Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys), Volume 3 · 2025 · 1 citations
Analysis of Vocabulary and Subword Tokenization Settings for Optimal Fine-tuning of MT: A Case Study of In-domain Translation
Javad Pourmostafa Roshan Sharami and Dimitar Shterionov and Pieter Spronck
Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing-Natural Language Processing in the Generative AI Era · 2025
Integrating SAINT with Tree-Based Models
Adil Derrazi and Javad Pourmostafa Roshan Sharami
Springer Nature Switzerland · 2025
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
Javad Pourmostafa Roshan Sharami and Dimitar Shterionov and Pieter Spronck
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · 2024
Evaluating the effectiveness of pre-trained language models in predicting the helpfulness of online product reviews
Ali Boluki and Javad Pourmostafa Roshan Sharami and Dimitar Shterionov
Springer Nature Switzerland · 2023 · 8 citations
Tailoring Domain Adaptation for Machine Translation Quality Estimation
Javad Pourmostafa Roshan Sharami and Dimitar Shterionov and Frédéric Blain and Eva Vanmassenhove and Mirella De Sisto and Chris Emmery and Pieter Spronck
Proceedings of the 24th Annual Conference of the European Association for Machine Translation · 2023 · 7 citations
A Python Tool for Selecting Domain-Specific Data in Machine Translation
Javad Pourmostafa Roshan Sharami and Dimitar Shterionov and Pieter Spronck
Universitat d’Alacant · 2023 · 3 citations
A systematic analysis of vocabulary and BPE settings for optimal fine-tuning of NMT: a case study of in-domain translation
J Sharami and Dimitar Shterionov and Pieter Spronck
arXiv preprint arXiv:2303.00722 · 2023 · 3 citations
A Quality Estimation and Quality Evaluation Tool for the Translation Industry
Elena Murgolo and Javad Pourmostafa Roshan Sharami and Dimitar Shterionov
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation · 2022 · 6 citations
Quality estimation for the translation industry–data challenges. June
Javad Pourmostafa Roshan Sharami and Elena Murgolo and Dimitar Shterionov
The 32nd Meeting of Computational Linguistics in The Netherlands, CLIN · 2022 · 2 citations
Quality Estimation for the Translation Industry–Data Challenges
Javad Pourmostafa Roshan Sharami and Elena Murgolo and Dimitar Shterionov
The 32nd Meeting of Computational Linguistics in The Netherlands · 2022
Selecting parallel in-domain sentences for neural machine translation using monolingual texts
Javad Pourmostafa Roshan Sharami and Dimitar Shterionov and Pieter Spronck
Computational Linguistics in the Netherlands Journal · 2021 · 17 citations
A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems
Javad Pourmostafa Roshan Sharami and Dimitar Shterionov and Pieter Spronck
The 31st Meeting of Computational Linguistics in The Netherlands (CLIN 31) · 2021 · 4 citations
Deepsentipers: Novel deep learning models trained over proposed augmented persian sentiment corpus
Javad PourMostafa Roshan Sharami and Parsa Abbasi Sarabestani and Seyed Abolghasem Mirroshandel
arXiv preprint arXiv:2004.05328 · 2020 · 37 citations
