Na-Rae Han

Director, Robert Henderson Language Media Center
Teaching Professor, Department of Linguistics
(PhD in linguistics, University of Pennsylvania; MSE in computer and information science, University of Pennsylvania)

G17 Cathedral of Learning
University of Pittsburgh
Pittsburgh, PA 15260
Phone: 412-624-5939
E-mail: naraehan is the ID, at pitt-dot-edu

Another official page on Pitt linguistics department site.

My research interests include computational linguistics, corpus linguistics, NLP (natural language processing) methods for educational assessment and instruction, and computer-assisted language learning. I have also done work in the following areas: computational morphology, computational semantics/pragmatics, corpus construction and analysis, computational stylistics and authorship attribution.

Courses Taught

LING 1330/2330 Introduction to Computational Linguistics
LING 1340/2340 Data Science for Linguists (Spring 2024) (past runs: 2023, 2022, 2021, 2019, 2017)
LING 1682/2682 Introduction to Semantic Theory
LING 1000 Introduction to Linguistics
LING 1930 Applications of Linguistics
LING 1901 Fundamentals of Text Processing for Linguists (Independent Study)
LING 2050 Special Topics in Linguistics: Corpus linguistics

Computational Linguistics

Studying Computational Linguistics at Pitt: a Guide
PyLing (Pitt Python Linguistics Group): a community of computationally minded linguists at Pitt and CMU

Tutorials and Presentations

Python 3 Notes (with annotated MyBringBack.com videos)
Python 2.7 Tutorial (with videos by MyBringBack.com)

Grep Your Way Into WORDLE Victory (PyLing, February 2022)
Being the best version of yourself with git and GitHub: part of Data Summer Camp: A Wednesday Minicourse on Reproducible Linguistic Research at LSA Summer Institute (July 2019)
Tools for Reproducible Research in Linguistics: a tutorial on git and GitHub, as LSA 2019 Satellite Workshop (January 2019)
Corpus Linguistics with Python and NLTK: part of NASSLLI at CMU (June 2018)
Fun Times with Regular Expressions (PyLing, October 2018)
Word2Vec Hands-On (PyLing, April 2018)
Python Clinic Day 1 and Python Clinic Day 2: part of NEH Institute (July 2017)
CMU Digital Humanities Summer Workshop, 2017 (May 2017)
Graphs and Plots Using Plotly (PyLing, April 2017)
Movie Reviews Sentiment Analysis with Scikit-Learn (PyLing, February 2017)
Basic Text Processing with Python: Pitt Library Workshop (February 2017)
Dongguk University Python Workshop (August 2016)
CMU Digital Humanities Summer Workshop (May 2016)
Command-line Magic: Or Why I Can't Abandon Perl (Just Yet) (PyLing, October 2015)

Research Projects

Pitt ELI Data Mining Group on GitHub
Twitter Mining for Nicotine/Tobacco Use, with The Center for Research on Media, Technology, and Health. An NCI grant.
CARMLS/Xposition project: a cross-linguistic semantic database of adpositions (prepositions and postpositions)
Korean Universal Dependency Treebank Project

Selected Publications

Jinho D. Choi, Na-Rae Han, Jena D. Hwang, Hansaem Kim. “Penn Korean Universal Dependency Treebank,” Linguistic Data Consortium (LDC) catalog number LDC2023T05, 2023.
Na-Rae Han. "Transforming Data". In A. Berez-Kroeker, B. McDonnell, E. Koller, L. Collister (Eds.), The Open Handbook of Linguistic Data Management, MIT Press, 2022.
Ben Naismith, Alan Juffs, Na-Rae Han, Daniel Zheng. "Handle it in-house? Learner corpora frequency lists and lexical sophistication". International Journal of Corpus Linguistics, 1-30, 2022.
Ben Naismith, Na-Rae Han, Alan Juffs. "The University of Pittsburgh English Language Institute Corpus (PELIC)". International Journal of Learner Corpus Research, 8 (1), 2022.
Shyam Visweswaran, Jason B Colditz, Patrick O'Halloran, Na-Rae Han, Sanya B Taneja, Joel Welling, Kar-Hai Chu, Jaime E Sidani, and Brian A Primack. "Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study". Journal of Medical Internet Research 22(8), 2020.
Kanayama, Hiroshi, Na-Rae Han, Masayuki Asahara, Jena D Hwang, Yusuke Miyao, Jinho D Choi, and Yuji Matsumoto. "Coordinate structures in universal dependencies for head-final languages". Proceedings of the Second Workshop on UniversalDependencies (UDW 2018), 2018.
Naismith, Ben, Na-Rae Han, Alan Juffs, Brianna Hill, and Daniel Zheng. "Accurate Measurement of Lexical Sophistication with Reference to ESL Learner Data." Proceedings of Educational Data Mining 2018, 2018.
Littell, Patrick, Tom McCoy, Na-Rae Han, Shruti Rijhwani, Zaid Sheikh, David Mortensen, Teruko Mitamura, and Lori Levin. "Parser combinators for Tigrinya and Oromo morphology." Proceedings of LREC 2018, 2018.
Chun, Jayeol, Na-Rae Han, Jena D. Hwang, and Jinho Choi. "Building Universal Dependency Treebanks in Korean." Proceedings of LREC 2018, 2018.
Hwang, Jena D., Archna Bhatia, Na-Rae Han, Tim O’Gorman, Vivek Srikumar, and Nathan Schneider. "Double trouble: the problem of construal in semantic annotation of adpositions." Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017, 178--188.
Hwang, Jena D., Archna Bhatia, Na-Rae Han, Tim O’Gorman, Vivek Srikumar, and Nathan Schneider. "Coping with construals in broad-coverage semantic annotation of adpositions." AAAI Spring Symposium on Construction Grammar and NLU, 2017.
Han, Na-Rae, Joel Tetreault, Soo-Hwa Lee and Jin-Young Ha. "Using an Error- Annotated Learner Corpus to Develop an ESL/EFL Error Correction System." Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Malta, 2010.
Han, Na-Rae, Martin Chodorow, and Claudia Leacock. “Detecting Errors in English Article Usage by Non-Native Speakers.” Natural Language Engineering: Special Issue on Educational Applications, 12(2), Cambridge University Press, UK, 2006.
Han, Na-Ree, Shijong Ryu, Sook-Hee Chae, Seung-yun Yang, Seunghun Lee, and Martha Palmer. “Korean Treebank Annotations Version 2.0.” Linguistic Data Consortium (LDC) catalog number LDC2006T09 and ISBN 1-58563-381-X, 2006.
Han, Na-Rae. “Klex: A Finite-State Transducer Lexicon of Korean.” Proceedings of the 5th International Workshop on Finite-State Methods and Natural Language Processing, Springer LNCS, 2005.

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