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Frederik Hartmann

Title: Assistant Professor

Department: Linguistics

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, The University of Konstanz - Germany, 2021
    Major: Linguistics

Current Scheduled Teaching

CSCE 6290.001Advanced Topics in Human/Machine IntelligenceSpring 2025
LING 4140.001Computational LinguisticsSpring 2025
LING 5410.001Foundations of Computational LinguisticsSpring 2025
CSCE 5290.001Natural Language ProcessingSpring 2025
LING 5415.001Special Topics in Computational LinguisticsSpring 2025
LING 5412.001Advanced Models of LanguageFall 2024
INFO 6950.041Doctoral DissertationFall 2024
CSCE 4290.001Introduction to Natural Language ProcessingFall 2024 Syllabus
CSCE 5290.001Natural Language ProcessingFall 2024
CSCE 5290.600Natural Language ProcessingFall 2024
LING 5360.001Studies in Descriptive LinguisticsFall 2024

Previous Scheduled Teaching

CSCE 6290.001Advanced Topics in Human/Machine IntelligenceSpring 2024 SPOT
LING 4140.001Computational LinguisticsSpring 2024 Syllabus SPOT
LING 5410.001Computational Linguistics 1Spring 2024 SPOT
LING 5415.001Computational Linguistics IISpring 2024 SPOT
INFO 6950.704Doctoral DissertationSpring 2024
CSCE 5290.001Natural Language ProcessingSpring 2024 SPOT
CSCE 5290.600Natural Language ProcessingSpring 2024 SPOT
LING 4900.001Special ProblemsSpring 2024 Syllabus
INFO 6950.041Doctoral DissertationFall 2023
CSCE 4290.001Introduction to Natural Language ProcessingFall 2023 Syllabus SPOT
CSCE 5290.001Natural Language ProcessingFall 2023 SPOT
CSCE 5290.600Natural Language ProcessingFall 2023 SPOT
LING 5412.001NLP in LinguisticsFall 2023 SPOT
LING 4900.001Special ProblemsFall 2023 Syllabus SPOT
LING 4140.001Computational LinguisticsSpring 2023 Syllabus SPOT
LING 5410.001Computational Linguistics 1Spring 2023 SPOT
INFO 6660.027Readings in Information ScienceSpring 2023

Published Intellectual Contributions

    Book

  • Hartmann, F. (2023). Germanic phylogeny. Oxford, Oxford University Press.
  • Hartmann, F. (2020). The Vandalic Language - Origins and Relationships. Heidelberg, Winter.
  • Book Chapter

  • Bäumler, L., Hartmann, F., Elissa, P., Van den Berghe, C.Q., Weiland, V. (2023). Sociogeographical differences in the pronunciation of Anglicisms in Spanish Acoustic vowel analysis using multilevel regression models. Corpus dialectology. 106 – 132. Amsterdam, John Benjamins.
  • Book Review

  • Hartmann, F. (2020). Review of Edgar Büttner (Hrg.) (2017). Unser vrouwen klage / Der Spiegel. (Altdeutsche Textbibliothek 124), Berlin/Boston: De Gruyter.
  • Hartmann, F. (2020). Review of Rudolf Schützeichel (2012). Althochdeutsches Wörterbuch. 7., durchgesehene und verbesserte Auflage, Berlin/Boston: De Gruyter.
  • Conference Proceeding

  • Hartmann, F. (2019). Predicting historical phonetic features using deep neural networks: A case study of the phonetic system of Proto-Indo-European.
  • Journal Article

  • Hartmann, F., Jäger, G. (2023). Gaussian process models for geographic controls in phylogenetic trees.
  • Hartmann, F. (2022). Lexical and sublexical effects on diachronic stability and instability of phonological systems. Lingua. (273) 103308.
  • Hartmann, F. (2022). Methodological problems in quantitative research on environmental effects in phonology.
  • Pustka, E., Heiszenberger, E., Hartmann, F. (2022). Pronunciation in progress: A longitudinal study on the development of obligatory liaison in French as a foreign language.
  • Hartmann, F., Riegger, C. (2022). The Burgundian language and its phylogeny – A cladistical investigation.
  • Luo, J., Hartmann, F., Santus, E., Barzilay, R., Cao, Y. (2021). Deciphering Undersegmented Ancient Scripts Using Phonetic Prior.
  • Hartmann, F. (2021). Old Frisian breaking and labial mutation revisited.
  • Hartmann, F. (2021). The phonetic value of the Proto-Indo-European laryngeals - A computational study using deep neural networks.
  • Webpage

  • Hartmann, F. (2017). Gotisch-Lernmodul.

Contracts, Grants and Sponsored Research

    Grant - Research

  • Xiao, T. (Principal), Ding, J. (Co-Principal), Albert, M.V. (Supporting), Alam, Z.S. (Supporting), Hartmann, F. (Supporting), Wang, Y. (Supporting), Liang, L. (Supporting), Chen, H. (Supporting), Du, J. (Supporting), Azad, R.K. (Supporting), "NSF REU site: Beyond Language: Training to Create and Share Vector Embeddings across Application," sponsored by NSF, Federal, $403547 Funded. (2023 - 2025).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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