Publications
- Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
- IntelliSys 2023: Intelligent Systems and Applications pp 15–35
- First online: February 14, 2024
- Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 825)
- 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
- Presenting A Sentiment Analysis System Using Deep Learning Models On Persian Texts (In Persian)
