Faculty Profile

Frederik Hartmann

Title
Assistant Professor
Department
Linguistics
College
College of Information

    

Education

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

Current Scheduled Teaching*

CSCE 6290.001, Advanced Topics in Human/Machine Intelligence, Spring 2024 Syllabus
LING 4140.001, Computational Linguistics, Spring 2024
LING 5410.001, Computational Linguistics 1, Spring 2024 Syllabus
LING 5415.001, Computational Linguistics II, Spring 2024 Syllabus
INFO 6950.704, Doctoral Dissertation, Spring 2024
CSCE 5290.001, Natural Language Processing, Spring 2024 Syllabus
CSCE 5290.600, Natural Language Processing, Spring 2024
LING 4900.001, Special Problems, Spring 2024 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

INFO 6950.041, Doctoral Dissertation, Fall 2023
CSCE 4290.001, Introduction to Natural Language Processing, Fall 2023 Syllabus SPOT
CSCE 5290.001, Natural Language Processing, Fall 2023 Syllabus SPOT
CSCE 5290.600, Natural Language Processing, Fall 2023 SPOT
LING 5412.001, NLP in Linguistics, Fall 2023 Syllabus SPOT
LING 4900.001, Special Problems, Fall 2023 Syllabus SPOT
LING 4140.001, Computational Linguistics, Spring 2023 Syllabus SPOT
LING 5410.001, Computational Linguistics 1, Spring 2023 Syllabus SPOT
INFO 6660.027, Readings in Information Science, Spring 2023 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

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.

Awarded Grants

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. (20232025).
,
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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