Contact Information
Foreign Languages Building (M/C 168)
Room 4019
707 S. Mathews Ave.
Urbana, IL 61801
Research Interests
Machine translation
Computational linguistics
Endangered languages
Programming languages
Compilers
Education
Ph.D, University of Minnesota
M.Phil, University of Cambridge
B.A., Luther College
Courses Taught
LING 402
Additional Campus Affiliations
Assistant Professor, Computer Science
Assistant Professor, Beckman Institute for Advanced Science and Technology
External Links
Recent Publications
Park, H. H., Zhang, K. J., Haley, C., Steimel, K., Liu, H., & Schwartz, L. (2021). Morphology matters: A multilingual language modeling analysis. Transactions of the Association for Computational Linguistics, 9, 261-276. https://doi.org/10.1162/tacl_a_00365
Chen, E., Park, H. H., & Schwartz, L. (2020). Improved finite-state morphological analysis for St. Lawrence island yupik using paradigm function morphology. In N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (pp. 2676-2684). (LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings). European Language Resources Association (ELRA).
Jin, L., Doshi-Velez, F., Miller, T., Schuler, W., & Schwartz, L. (2020). Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. In E. Riloff, D. Chiang, J. Hockenmaier, & J. Tsujii (Eds.), Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 (pp. 2721-2731). (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018). Association for Computational Linguistics.
Jin, L., Doshi-Velez, F., Miller, T., Schuler, W., & Schwartz, L. (2020). Unsupervised learning of PCFGs with normalizing flow. In ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (pp. 2442-2452). (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference). Association for Computational Linguistics (ACL).
Schreiner, S. L. R., Schwartz, L., Hunt, B., & Chen, E. (2020). Multidirectional leveraging for computational morphology and language documentation and revitalization. Language Documentation and Conservation, 14, 69-86.