Natural Language Processing

Our research is dedicated to advancing the field towards the overarching goal of developing general AI. This ambition drives us to create more sophisticated algorithms capable of understanding and generating human language in ways that mimic human-like cognition.

Our projects range from improving machine translation and speech recognition systems to developing AI that can engage in complex dialogues, understand abstract concepts, and exhibit a nuanced understanding of context and emotions. By pushing the boundaries of NLP, we aim to bridge the gap between current AI capabilities and general AI, fostering systems that can learn from diverse linguistic inputs and apply their understanding in a wide array of scenarios, thus moving closer to realizing AI that can operate across different domains with human-like versatility.