
Professor Dr. Manex Aguirrezabal Zabaleta
Associate Professor
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Biography
Manex Aguirrezabal Zabaleta is an Associate Professor at the University of Copenhagen, specializing in the field of Natural Language Processing. He completed his PhD at the University of the Basque Country (UPV/EHU) and has a Master’s degree also from UPV/EHU, focusing on Natural Language Processing. Aguirrezabal has a robust academic background, including five years of study in Computer Science. His main research interest is the automatic analysis of poetry in English, particularly the exploration of stress patterns in poetic structures. He has been at the forefront of this innovative intersection between computers and literary analysis since the early 1980s, contributing significantly to the understanding of how contemporary computational techniques can be applied to age-old literary challenges. His additional research pursuits include language generation and computational morphology/phonology, employing finite-state methods. Over the past five years, he has collaborated extensively in top research areas, enhancing the field's knowledge through shared publications and projects.
Research Interests
Experience
Associate Professor
2019-01-01 — PresentUniversity of Copenhagen • Copenhagen, Denmark
Engaged in research and teaching related to Natural Language Processing and the computational analysis of poetry.
Postdoc
2017-01-01 — 2019-01-01University of Copenhagen • Copenhagen, Denmark
Focused on advanced research methodologies in Natural Language Processing.
Assistant Professor
2017-01-01 — 2019-01-01University of Copenhagen • Copenhagen, Denmark
Involved in teaching courses and conducting research in the field of Natural Language Processing.
Requirements for University of Copenhagen
Master Program
Requirements
IELTS
TOEFL
Prerequisites
Application Checklist
- Bachelor's diploma
- Transcript of records
- Course descriptions
- Self-assessment form
- Documentation of English proficiency
Specialization Notes
Focuses on clinical, social, and cognitive psychology.