about

profile Charles Redmon [tʃɑɹɫz (ˈtʃɑɹli) ˈɹɛdmən]
Postdoctoral Researcher
Language & Brain Lab
University of Oxford

Email: charles.redmon@ling-phil.ox.ac.uk
Github/Gitlab: redmonc
CV: pdf



News:   The Speech & Language Resource Bank (SLRB) is now live! Check it out at www.slrb.net.


About me

I am a postdoc at the University of Oxford working with Aditi Lahiri on the project, "Complexity in Derivational Morphology: Theory and Experimental Evidence." This project is in collaboration with Carsten Eulitz, Frans Plank, and Anna Gupta at the University of Konstanz, and seeks to clarify how derivational complexity in word morphology is processed in the brain, and how present synchronic data can be linked to the historical development of the lexicon in Germanic languages.


Research Interests

Complexity in Speech Systems

The study of speech as a complex system considers articulatory, acoustic, and perceptual structure to be an emergent function of communicative interactions between higher-order units (e.g., patterns in success/failure to transmit a given message).

This approach requires that the speech system reflects the fundamental heterogeneity of distributions of contrast in higher-order units in the language, and therefore requires phonetic data to be much broader in scope (e.g., cross-linguistic comparisons would not be between controlled elicitations of phones, but between large databases of words or other higher-order units in each language).

Recent work: Redmon & Jongman (2018, 2019a, 2019b). "Lexically dependent estimation of acoustic information in speech (I/II/III)"

Obstruent Production

My work on speech production has focused primarily on obstruents, and in particular on the contextual asymmetries and points of instability that are a hallmark of such systems.

Recent work: Redmon & Jongman (2018). "Source characteristics of voiceless dorsal fricatives"; Dutta et al. (2019, forthcoming). "Coarticulation in a dense coronal system: Acoustic and ultrasound data from Malayalam."

Expanding the Scope of Data on Understudied Languages

The need for a broader linguistic base for research on human language production and perception is well-known and readily acknowledged.

Two major gaps that remain are in the availability of computational resources and perceptual data for understudied languages. Regarding the latter it is of particular importance that such languages serve as grounds for both replicating existing psycholinguistic findings and generating new ones.

Recent work: Redmon & Sangma (2018). "On the importance of machine-readable lexicons in the study of South Asian phonologies: Demonstrations from a 16,000-word database of Garo."; Redmon (in prep.) "TCUL: The Twitter Corpus of Underdocumented Languages."