I am an Assistant Professor of Linguistics. Before moving to the University of Colorado, I was an Ikerbasque visiting professor in Computer Science at the University of the Basque Country. Prior to that, I did postdoctoral work in Helsinki as a Marie Curie Fellow. My PhD is from the University of Arizona. My research focuses on modeling and learning natural language structure, particularly in the domains of morphology and phonology. I often employ and develop formal and machine learning methods to this end.


We're organizing a CoNLL shared task on Universal Morphoglogical Reinflection at CoNLL 2017, held at ACL 2017!

We're organizing the 2nd Workshop on Computational Methods for Endangered Languages co-located with ICLDC 2017 at the University of Hawai‘i at Mānoa.

See the results of the SIGMORPHON 2016 shared task on morphological reinflection here.

Recent Publications

  • Hulden, M. (2017, accepted). Formal and Computational Verification of Phonological Analyses. Phonology 34.
  • Hulden, M. (2017, accepted). Rewrite Rule Grammars with Multitape Automata. Journal of Language Modelling.
  • Hulden, M. (2017, in print). Formal Verification in Optimality Theory. Essays in honor of Lauri Karttunen. CSLI: Stanford
  • Silfverberg, M.; Hulden, M. (2016). Automatic Morpheme Segmentation and Labeling in Universal Dependencies resources. In Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies (UDW 2017) [pdf]
  • Kazeminejad, G.; Cowell, A.; Hulden, M. (2017). Creating lexical resources for polysynthetic languages—the case of Arapaho. Proceedings of the 2nd Workshop on on the Use of Computational Methods in the Study of Endangered Languages (ComputEL). Association for Computational Linguistics. [pdf]
  • Mao, L. J.; Hulden, M. (2016). How Regular is Japanese Loanword Adaptation? A Computational Study. In Proceedings of COLING 2016. [pdf]
  • Agirrezabal, M.; Algeria, I.; Hulden, M. (2016). Machine Learning for Metrical Analysis of English Poetry. In Proceedings of COLING 2016. [pdf]
  • Cotterell, Ryan; Kirov, Christo; Sylak-Glassman, John; Yarowsky, David; Eisner, Jason; Hulden, Mans. (2016). The SIGMORPHON 2016 Shared Task—Morphological Reinflection. In Proceedings of SIGMORPHON. Association for Computational Linguistics. [pdf] [web page] [slides]
  • Forsberg, M.; Hulden, M. (2016). Learning Transducer Models for Morphological Analysis from Example Inflections. In Proceedings of StatFSM. Association for Computational Linguistics. [pdf] [slides]
  • Etxeberria, I.; Alegria, I.; Uria, L.; Hulden, M. (2016). Combining Phonology and Morphology for the Normalization of Historical Texts. In Proceedings of LaTeCH. Association for Computational Linguistics. [pdf]
  • Agirrezabal, M.; Astigarraga, A.; Arrieta, B.; Hulden, M. (2016). ZeuScansion: A tool for scansion of English poetry. Journal of Language Modelling, Vol 4. No. 1, pp. 3-28. [pdf]
  • Forsberg, M.; Hulden, M. (2016). Deriving Morphological Analyzers from Example Inflections. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC-2016). [pdf]
  • Smith, D. E.; Hulden, M. (2016). Morphological Analysis of Sahidic Coptic for Automatic Glossing. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC-2016). [pdf]
  • Etxeberria, I.; Alegria, I.; Uria, L.; Hulden, M. (2016). Evaluating the Noisy Channel Model for the Normalization of Historical Texts: Basque, Spanish, and Slovene. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC-2016). [pdf]
  • Francom, J.; Hulden, M. (2016). Spanish Diacritic Error Correction and Restoration—A Survey. Lecture Notes in Artificial Intelligence 9561:290–303. Special Issue: Human Language Technology. Challenges for Computer Science and Linguistics. [link]
  • Hulden, M. (2015). From two-way to one-way finite automata—three regular expression based methods. In CIAA 2015. [pdf] [code] [slides]
  • Hulden, M. (2015). Grammar design with multitape automata and composition. In FSMNLP 2015. [pdf] [code] [slides]
  • Ahlberg, M.; Forsberg, M.; Hulden, M. (2015). Paradigm classification in supervised learning of morphology. In Proceedings of NAACL-HLT 2015. [pdf] [code] [slides]
  • Hulden, M.; Silfverberg, M.; Francom, J. (2015). Kernel density estimation for text-based geolocation. In Proceedings of AAAI 2015. [pdf] [code]
  • A more complete list of my publications can be found here.