Computational Modelling of Linguistic Knowledge
Nixon J. and Tomaschek, F. (accepted). Error-driven learning of communication systems in biological life forms. Book Chapter in `Xenolinguistics’, ed. Douglas Vakoch & Jeffrey Punske. Preprint at psyarxiv
Tucker B. and Tomaschek F. (forthcoming). Speech Production: Where does morphology fit? Chapter 6. Crepaldi, D. (Ed.). Linguistic Morphology in the Mind and Brain. Routledge.
Tomaschek F., Domahs U. and Domahs F. (2023) Modelling German Word Stress. Glossa.
Arndt-Lappe S., Schrecklinger R. and Tomaschek F. (2022). Modelling English stress assignment from orthography with Naıve Discriminative Learning: Morphological and Structural Effects. Morphology.
Nieder J., van de Vijver R. & Tomaschek F. (2022). “All mimsy
were the borogoves” – a discriminative learning model of morphological knowledge in pseudo-wordinflection. Language, Cognition and Neuroscience.
Tomaschek F. and Ramscar M. (2022). Understanding the phonetic characteristics of speech under uncertainty – Implications of the representation of linguistic knowledge in learning and processing. Frontiers in Psychology 13.
Nieder J., Tomaschek F., Cohrs, E. and van de Vijver, Ruben (2021). Modeling Maltese Noun Plural Classes without Morphemes. Language, Cognition and Neuroscience. PDF and Supplementary Materials
Nixon J. and Tomaschek F. (2021). Prediction and error in early infant speech learning: a speech acquisition model. Cognition. Volume 212, July 2021, 104697.
Nixon, J. & Tomaschek, F. (2020), Learning from the Acoustic Signal: Error-Driven Learning of Low-Level Acoustics Discriminates Vowel and Consonant Pairs, in ‘Proceedings of the 42nd Annual Conference of the Cognitive Science Society’, Vol. 42, pp. 585 — 591.
Sering T. and Tomaschek F. (2020): Comparing KEC recordings with resynthesized EMA data. Proceedings of the ESSV 2020
Tomaschek F., Plag, I., Ernestus, M. & Baayen, R. H. (2019). Phonetic effects of morphology and context: Modeling the duration of word-final s in English with Naive Discriminative Learning.
Journal of Linguistics, p. 1-39. PDF and Supplementary Materials
Arnold D., Tomaschek F., Sering K., Lopez F., and Baayen R.H. (2017). Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit. PLoS ONE 12(4): e0174623, 1 – 16. (PDF)
Augurzky P., Riester A., Tomaschek F. (2015): Segmental effects on prosody: Modelling German argument structure. In: Leemann, A., M.-J. Kolly, S. Schmid, V. Dellwo (eds.), Trends in Phonetics and Phonology. Studies from German speaking Europe. Frankfurt am Main / Bern: Lang. (PDF)
Experimental Investigation of Speech Production
Lõo K., Tomaschek, F., Lippus, P. & Tucker, B. V. (2022). Paradigmatic and syntagmatic effects in Estonian spontaneous speech, Language and Speech. PDF.
Tomaschek F., Arnold, D., van Rij J., Tucker B., Sering K. & Ramscar M. (2021). Articulatory variability is reduced by repetition and predictability. Language and Speech. Vol 64, Issue 3, Supplementary Materials.
Saito, M., Tomaschek, F. & Baayen, H. (2021). An ultrasound study of frequency and coarticulation, in ‘Proceedings of the 12th International Seminar on Speech Production’. p. 206-209. PDF.
Saito, M., Tomaschek, F. & Baayen, H. (2021). Relative functional load determines co-articulatory movements of the tongue tip, in ‘Proceedings of the 12th International Seminar on Speech Production’. p. 210-213. PDF
Tomaschek F., Tucker, B., Ramscar, M., and Baayen, R. (2021). Paradigmatic enhancement of stem vowels in regular English inflected verb forms. Morphology 31, p. 171-199. Online and PDF
Tomaschek F. & Tucker B. V. (2020). A Phonetic analysis of input to speech-to-text software in an attempt to improve on Upper’s (1974) unsuccessful self-treatment of a case of “writer’s block”. Speculative Grammarian Vol CLXXXVIII, No 4. PDF
Tomaschek F., Plag, I., Ernestus, M. & Baayen, R. H. (2019). Phonetic effects of morphology and context: Modeling the duration of word-final s in English with Naive Discriminative Learning.
Journal of Linguistics, p. 1-39. PDF and Supplementary Materials
Tomaschek, F., Tucker, B. V., Fasiolo, M. & Baayen, R. H. (2018). Practice makes perfect: The consequences of lexical proficiency for articulation. Linguistic Vanguard, 4 (s2). (PDF and Supplementary Material.)
Tomaschek, F., Arnold, D., Bröker, F., & R. Baayen, R. H. (2018). Lexical frequency co-determines the speed-curvature relation in articulation. Journal of Phonetics. 68, p. 103-116.
(PDF and Supplementary Materials)
Lõo K., Järvikivi J., Tomaschek F., Tucker B. & Baayen H. (2018). Production of Estonian case-inflected nouns shows whole-word frequency and paradigmatic effects. Morphology, 28(1), p. 71-97. (PDF)
F Tomaschek, BV Tucker, M Wieling, RH Baayen (2014): Vowel articulation affected by word frequency. Proceedings of the 10th International Seminar on Speech Production, 425-428. (PDF)
F Tomaschek, M Wieling, D Arnold, RH Baayen (2013): Word frequency, vowel length and vowel quality in speech production: an EMA study of the importance of experience. INTERSPEECH, 1302-1306. (PDF)
Experimental Investigation of Speech Perception
Nixon J. and Tomaschek F. (forthcoming) Does speech comprehension require phonemes? Chapter in Díaz-Campos, M. and Balasch S. `The Handbook of Usage-Based Linguistics’. Wiley Blackwell Publishing.
Tomaschek, F. & Tucker, B. V. (2021), The role of coarticulatory acoustic detail in the perception of verbal inflection, JASA Express Letters 1, 085201.
Arnold D., Tomaschek F., Sering K., Lopez F., and Baayen R.H. (2017). Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit. PLoS ONE 12(4): e0174623, 1 – 16. (PDF)
Tomaschek F., Truckenbrodt, H., Hertrich, I. (2015): Discrimination sensitivities and identification patterns of vowel quality and duration in German /u/ and /o/ instances. In: Leemann, A., M.-J. Kolly, S. Schmid, V. Dellwo (eds.), Trends in Phonetics and Phonology. Studies from German speaking Europe. Frankfurt am Main / Bern: Lang. (PDF)
F Tomaschek, H Truckenbrodt, I Hertrich (2013): Neural processing of acoustic duration and phonological German vowel length: Time courses of evoked fields in response to speech and nonspeech signals. Brain and language 124 (1), 117-131.
F Tomaschek (2013): Behavioral and neural correlates of vowel length in German and of its interaction with the tense/lax contrast. Doctoral Thesis, Universität Tübingen. (PDF)
F Tomaschek, H Truckenbrodt, I Hertrich (2011): Processing German vowel quantity: Categorical perception or perceptual magnet effect. Proceedings of the 17th International Conference of Phonetic Sciences, Hong Kong. (PDF)
Social Linguistics and Individual Variation and Language Change
Beaman, K. and Tomaschek, F. (2021). Loss of Historical Phonetic Contrast Across the Lifespan: Articulatory, Lexical and Social Effects on Sound Change in Swabian. Book chapter in Language Variation and Language Change Across the Lifespan: Theoretical and Empirical Perspectives from Panel Studies. Preprint at psyarxiv and Book.
Gittelson, B., Leeman, A., Tomaschek, F., (2021) Using crowd-sourced speech data to study socially constrained variation in nonmodal phonation, Frontiers in Artificial Intelligence, 25 January 2021.
Tomaschek F. & Leemann, A. (2018). The size of the tongue movement area affects the temporal coordination of consonants and vowels – A proof of concept on investigating speech rhythm. The Journal of the Acoustical Society of America 144, EL410. PDF
Baayen H., Tomaschek F., Gahl S., and Ramscar M. (2017). The Ecclesiastes principle in language change. In Hundt, M., Mollin, S., and Pfenninger, S. (Eds.) The changing English language: Psycholinguistic perspectives. Cambridge, Cambridge University Press. (PDF)
Wieling M., Tomaschek F., Arnold A., Tiede M., Bröker F., Thiele S., Wood S. & Baayen H. (2016). Investigating dialectal differences using articulography Journal of Phonetics, 59, 122-143. (PDF)
M Wieling, F Tomaschek, D Arnold, M Tiede, RH Baayen (2015): Investigating dialectal differences using articulography. Proceedings of the 18th International Conference of Phonetic Sciences, Glasgow. (PDF)
Methods and Statistics
Tomaschek F., Hendrix P. & Baayen H. (2018). Strategies for managing collinearity in multivariate linguistic data. Journal of Phonetics. PDF and Supplementary Material.
Clinical Phonetics
Tomaschek F. (2015): Has a Split Tongue One Or Two Tongue Tips During Articulation?. Proceedings of the 18th International Conference of Phonetic Sciences, Glasgow. (PDF)
Corpora
Tomaschek F., Arnold, D., Sering, K. and Strauss, F. (2021). A corpus of Schlieren photography of speech production – Potential to study aerodynamics of labial, nasal and vocalic processes. Language Resources and Evaluation. 55(4), 1127-1140 Online and PDF.
Arnold, D. & Tomaschek, F. (2016). The Karl Eberhards Corpus of spontaneously spoken Southern German in dialogues – audio and articulatory recordings, in C. Draxler & F. Kleber, eds, ‘Tagungsband der 12. Tagung Phonetik und Phonologie im deutschsprachigen Raum. P und P 12. Tagung Phonetik und Phonologie im deutschsprachigen Raum, 12. – 14. Oktober 2016’, Ludwig-Maximilians-Universität München, pp. 9 — 11. URL
Shaoul C. and Tomaschek F. (2013). A phonological database based on CELEX and N-gram frequencies from the SDEWAC corpus. (PDF)
fabian tomaschek 