NLP enables computers to communicate with people using everyday language. Large language models (LLMs), in particular, are key drivers of language-based interaction, potentially including extra data modalities such as structured data or images. Such systems also enable sophisticated tasks such as language translation, semantic understanding, text summarisation, and natural language dialogue. Applications of NLP include interactive speech-based applications, automated translators, digital personal assistants, and chatbot.
As we look to the future, our department at MBZUAI will continue to be a driving force in shaping the next generation of NLP technologies. Whether it’s in the realms of large language models, dialog systems, chatbots, Arabic NLP, machine translation, speech recognition, multimodality (language +speech/images/video), or understanding the subtleties of language, our department will be at the forefront of innovation.
Department Chair of Natural Language Processing, and Professor of Natural Language Processing
Read BioA typical study plan is as follows:
SEMESTER 1 NLP805 - Natural Language Processing - PhD (4 CR)Disclaimer: Subject to change.
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