S. Parida, S. Panda, A. R. Dash, E. Villatoro-Tello, A. S. Doğruöz, R. M. Ortega-Mendoza, A. Hernández, Y. Sharma, P. Motlicek (2021). "Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)". In Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericaSNLP), ACL Anthology, 2021. [paper]
S. Parida, P. Motlicek, A. R. Dash, S.R. Dash, S. P. Biswal, P. Pattnaik, & D. K. Mallick (2020). "ODIANLP's Participation in WAT2020 ". In Proceedings of the 7th Workshop on Asian Translation (WAT2020), ACL Anthology, 2020 . [paper]
M. Fabien, E. Villatoro-Tello, P. Motlicek, & S. Parida (2020). "BertAA: BERT fine-tuning for Authorship Attribution". In Proceedings of the 17th International Conference on Natural Language Processing, ICON2020. [paper]
S. Parida, E. Villatoro-Tello, S. Kumar, M. Fabien, & P. Motlicek (2020). "Detection of Similar Languages and Dialects Using Deep Supervised Autoencoders". In Proceedings of the 17th International Conference on Natural Language Processing, ICON2020. [paper]
S. Parida, E. Villatoro-Tello, S. Kumar, P. Motlicek, & Q. Zhan, (2020). "Idiap Submission to Swiss-German Language Detection Shared Task". In Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). [paper]
E. Villatoro-Tello, S. Parida, S. Kumar, P. Motlicek, & Q. Zhan, (2020). "Idiap & UAM participation at GermEval 2020: Classification and Regression of Cognitive and Motivational Style from Text". In Proceedings of the GermEval 2020 Shared Task on the Classification and Regression of Cognitive and Motivational style from Text, 2020. [paper]
S. Parida, P. Motlicek. "Abstract Text Summarization: A Low Resource Challenge". In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5996-6000. 2019.
S. Parida, P. Motlicek. "Idiap Abstract Text Summarization System for German Text Summarization Task". Proceedings of the 4th edition of the Swiss Text Analytics Conference.
S. Parida, O. Bojar, S. Dash. "Hindi Visual Genome: A Dataset for English-to-Hindi Machine Translation". Computación y Sistemas, 23(4), 1499-1505.
S. Parida, O. Bojar, S. Dash. "OdiEnCorp: Odia-English and Odia-Only Corpus for Machine Translation". In Smart Intelligent Computing and Applications, pp. 495-504. Springer, Singapore, 2020.
T. Kocmi, S. Parida, O.Bojar. "CUNI NMT System for WAT 2018 Translation Tasks". In Proceedings of the 5th Workshop on Asian Translation (WAT2018), Hong Kong, China, December. Demo English-to-Hindi Translation URL Based on WAT 2018 Model: https://lindat.mff.cuni.cz/services/transformer/
S. Parida, O. Bojar. “Translating Short Segments with NMT: A Case Study in English-to-Hindi”. In Proceedings of the 21st Annual Conference of the European Association for Machine Translation, p. 229–238 Alacant, Spain, May 2018.
S. Parida, S. Dehuri & S.-B. Cho. “Neuro-Fuzzy Ensembler for Cognitive States Classification”, Advance Computing Conference (IACC 2014), pp. 1243-1247, IEEE, 2014.
S. Parida, S. Dehuri & S.-B. Cho.” Application of Genetic Algorithms and Gaussian Bayesian Approach in Pipeline for Cognitive State Classification”, Advance Computing Conference (IACC 2014), pp. 1237-1242, IEEE, 2014.
S.Parida & S. Dehuri. “A Review of Hybrid Techniques based on Machine Learning Approach in Cognitive Classification”, Soft Computing for Problem Solving (SocPros 2012), Springer AISC, vol. 236, pp. 659-666, 2014.
S. Parida, S. Dehuri & G.-N. Wang. “Genetic Algorithms Based Feature Selection for Cognitive State Classification Using Ensemble of Decision Trees”, In Proceedings of the International Conference on Vibration Problems (ICOVP 2013), pp. 1-10, 2013.
S. Parida & S. Dehuri. “A Study of Feature Selection Techniques for fMRI based State Classification”, Advancements in the Era of Multi-Disciplinary Systems(AEMDS 2013), pp. 500-507, Elsevier, 2013.

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