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Machine learning for statistical NLP: introduction

Master’s level
7,5 credits (ECTS)


The purpose of this course is to provide an introduction to probabilistic modeling and statistical machine learning techniques in terms of their use within the field of language technology. We will review foundational concepts in mathematics and apply them to basic techniques and applications in statistical NLP. We will also learn practical skills in programming text processing pipelines and analytical tools.

The course is given at the Department of Philosophy, Linguistics and Theory of Science (FLoV). Link to pages about the department.

Prerequisites and selection