Computational Linguistics Robust NLP & Speech Processing Researcher

Research Interests

My research interests are centred around natural language processing (NLP), machine learning, and computational linguistics, with a strong focus on working with noisy data. I am particularly interested in how LLMs behave under noisy conditions and how they can be used for classification tasks in low-resource languages. My proposed research explores the potential of KB-BERT for handling noisy Swedish text, investigating techniques such as adversarial training to improve performance in environments with typographical errors, informal language, and phonetic misspellings. I am also keen to explore how NLP solutions can be scaled and adapted for low-resource languages, aiming to create systems that can handle both linguistic noise and limited resources effectively. Ultimately, I want to contribute to building language technologies that are more resilient and adaptable to the imperfections of real-world communication.