Javad Pourmostafa

Javad Pourmostafa

PhD Candidate in Artifical Intelligence

Publications

I have published under the name ‘Javad Pourmostafa Roshan Sharami,’ where ‘Roshan Sharami’ is a suffix added to my last name.

  • Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
  • Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
  • A Python Tool for Selecting Domain-Specific Data in Machine Translation
  • Tailoring Domain Adaptation for Machine Translation Quality Estimation
  • A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation
  • Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
  • Quality Estimation for the Translation Industry – Data Challenges
    • The 32nd Meeting of Computational Linguistics in The Netherlands (CLIN 32)
    • Tilburg, the Netherlands
    • Acceptance ref.
    • Link
    • June 17, 2022
  • A Quality Estimation and Quality Evaluation Tool for the Translation Industry
    • The 23rd Annual Conference of the European Association for Machine Translation (EAMT 2023)
    • Link
  • Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
  • A Novel Pipeline for Domain Detection and Selecting In-domain Sentences in Machine Translation Systems
    • Presented at the 31st Meeting of Computational Linguistics in The Netherlands (CLIN 31)
    • Ghent, Belgium
    • Organized by the LT3 team
    • Acceptance ref.
    • DOI
    • July 9, 2021
  • DeepSentiPers: Novel DL Models Trained Over Proposed Augmented Persian Sentiment Corpus
    • An improved version of our paper was submitted at the fifth conference of CL in Iran
    • arXiv:2004.05328
    • Codes, Talk
    • April 2020
  • Presenting A Sentiment Analysis System Using Deep Learning Models On Persian Texts (In Persian)