Courses and teaching material

The following are some information/material from courses I teach/taught. Feel free to use any of the material below under the terms of CC-BY-SA. I am also happy to share the source files (LaTeX, R etc.) and exams/solutions that are not included in the course pages.

For information on ISCL BA internships, please see this page.

Current (winter 2023)

• Data Structures and Algorithms for Computational Linguistics III (earlier editions: 2022, 2021, 2020, 2019 with Corina Dima, 2018 with Claus Zinn)
• Statistical NLP 1 (earlier editions of the one-semester course: 2021, 2020, 2019, 2018, 2017)
• Challenges in Natural Language Processing (earlier editions: 2023, 2022, 2021, 2019, 2018)

Past

• Computational Morphology (earlier editions: 2022, 2019)
• Advanced Topic in NLP
• Tools and Resources for Low-resource Languages (2023)
• Figurative Language and Natural Language Processing (2023)
• Evaluation of NLP systems: metrics, methods, and practices (2022)
• Dependency Treebanks and Dependency Parsing (2022)
• Deep Learning for Linguistics (2022)
• Statistical NLP (earlier editions: 2020, 2019, 2018, 2017)
• Reproducibility in Natural Language Processing (2021)
• Parsing (2020)
• Sequence and Structure Learning in Computational Linguistics (2018)
• Unsupervised Learning in Computational Linguistics (2017)
• Statistical parsing (2016)
• Machine Learning for Computational Linguistics (2016)
• Linguistic variation (2015)
• Computational simulation of language behavior (2014, earlier editions: 2012,2013)
• Statistics II (2013,2014)
• Database-driven web technology (2013, earlier versions: 2011, 2012)
• Databases (2013, earlier versions: 2011, 2012)
• Seminar in Methodology and Statistics: R exercises
• Language Learning (2008)
• Machine learning (2008)