Isidora Tourni

Profile

I'm a Research Scientist in Natural Language Processing.
My research interests span across machine translation, multilingual learning, and applications of AI. I have worked extensively on improving neural machine translation systems for low-resource language pairs through techniques like unsupervised learning and multimodal approaches. I'm particularly interested in developing methods that can help democratize access to language technologies for underserved languages and communities.

Recently, I've been exploring ways to leverage large language models for multilingual information retrieval and question answering tasks across diverse languages. I'm also passionate about making AI systems more interpretable and understanding how they process information across different modalities like text and images. My work aims to develop more robust and transparent AI systems that can effectively handle linguistic diversity while being explainable to users.

In the past, I have worked extensively on multilingual and multimodal machine learning applications. I also did research at Boston University working with Dr. Derry Wijaya on machine translation and explainable AI. My work focused on making machine translation more accessible for low-resource languages and developing explainable AI methods for natural language processing tasks.

Publications

SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval

SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval

Isidora Chara Tourni, Sayontan Ghosh, Brenda Miao, Constantijn van der Poel

arXiv.org 2024

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage

Isidora Chara Tourni, Lei Guo, T. Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen, Shan-Ching Lai, Hengchang Hu, Margrit Betke, P. Ishwar, Derry Tanti Wijaya

Conference on Empirical Methods in Natural Language Processing 2024

An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution

An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution

Isidora Chara Tourni, Derry Tanti Wijaya

arXiv.org 2023

Relevance-guided Neural Machine Translation

Relevance-guided Neural Machine Translation

Isidora Chara Tourni, Derry Tanti Wijaya

arXiv.org 2023

Direct Neural Machine Translation with Task-level Mixture of Experts models

Direct Neural Machine Translation with Task-level Mixture of Experts models

Isidora Chara Tourni, Subhajit Naskar

arXiv.org 2023

ChatGPT is all you need to decolonize sub-Saharan Vocational Education

Isidora Chara Tourni, G. Grigorakis, Isidoros Marougkas, Konstantinos M. Dafnis, Vassiliki‐Panagiota Tassopoulou

arXiv.org 2023

Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs

Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs

Shoumik Majumdar, Shubhangi Jain, Isidora Chara Tourni, Arsenii Mustafin, Diala Lteif, S. Sclaroff, Kate Saenko, Sarah Adel Bargal

Frontiers of Computer Science 2021

Cultural and Geographical Influences on Image Translatability of Words across Languages

Cultural and Geographical Influences on Image Translatability of Words across Languages

Nikzad Khani, Isidora Chara Tourni, Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya

North American Chapter of the Association for Computational Linguistics 2021

Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages

Garry Kuwanto, Afra Feyza Akyürek, Isidora Chara Tourni, Siyang Li, Alex Jones, Derry Tanti Wijaya

Pacific Rim International Conference on Artificial Intelligence 2021

Machine learning techniques in categorical time seriesanalysis of manufacturing process

Χαράλαμπος Μιχαηλίδης, Ισιδώρα Χαρά Τουρνή, C. Michailidis, Isidora Chara Tourni

Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources

Low-Resource Machine Translation for Low-Resource Languages: Leveraging Comparable Data, Code-Switching and Compute Resources

Garry Kuwanto, Afra Feyza Akyurek, Isidora Chara Tourni, Siyang Li, Derry Tanti Wijaya

arXiv.org 2021