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PhD in

Natural Language Processing

Overview

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.

  • icon Full time Mode
  • icon 60 Credits
  • icon On Campus Location

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.

Preslav Nakov

Department Chair of Natural Language Processing, and Professor of Natural Language Processing

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Meet the Faculty

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Timothy Baldwin

Provost and Professor of Natural Language Processing

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Preslav Nakov

Department Chair of Natural Language Processing, and Professor of Natural Language Processing

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Shady Shehata

Associate Professor of Practice

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Hanan Aldarmaki

Assistant Professor of Natural Language Processing

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Kentaro Inui

Professor of Natural Language Processing

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Monojit Choudhury

Professor of Natural Language Processing

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Alham Fikri Aji

Assistant Professor of Natural Language Processing

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Bhiksha Raj

Visiting Professor of Natural Language Processing

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Ekaterina Kochmar

Assistant Professor of Natural Language Processing

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Iryna Gurevych

Adjunct Professor of Natural Language Processing

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Muhammad Abdul-Mageed

Associate Professor of Natural Language Processing

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Thamar Solorio

Senior Director, Graduate Student Affairs, and Professor of Natural Language Processing

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Xiuying Chen

Assistant Professor of Natural Language Processing

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Fajri Koto

Assistant Professor of Natural Language Processing

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Veselin Stoyanov

Adjunct Professor of Natural Language Processing

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Yova Kementchedjhieva

Assistant Professor of Natural Language Processing

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Ted Briscoe

Deputy Department Chair of Natural Language Processing, and Professor of Natural Language Processing

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A typical study plan is as follows:


SEMESTER 1

NLP805 - Natural Language Processing - PhD (4 CR)
+ 2 Electives (8 CR)

SEMESTER 2

NLP806 - Advanced Natural Language Processing - PhD (4 CR)
NLP807 - Speech Processing - PhD (4 CR)
+ 1 Elective (4 CR)

SUMMER

INT899 Internship (up to four months)

SEMESTER 3

NLP899 Ph.D. Research Thesis
RES899 Research Training

SEMESTER 4

NLP899 Ph.D. Research Thesis

SEMESTER 5

NLP899 Ph.D. Research Thesis

SEMESTER 6

NLP899 Ph.D. Research Thesis

SEMESTER 7

NLP899 Ph.D. Research Thesis

SEMESTER 8

NLP899 Ph.D. Research Thesis

Disclaimer: Subject to change.


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