At long last! It’s my great pleasure to announce the publication of the special issue on “Laboratory in the field: advances in cross-linguistic psycholinguistics”, edited by Alice Harris (UMass), Elisabeth Norcliffe (MPI, Nijmegen), and me (Rochester), in Language, Cognition, and Neuroscience. It is an exciting collection of cross-linguistic studies on language production and comprehension and it feels great to see the proofs for the whole shiny issue:
We recently submitted a research review on “Speech perception and generalization across talkers and accents“, which provides an overview of the critical concepts and debates in this domain of research. This manuscript is still under review, but we wanted to share the current version. Of couse, feedback is always welcome.
In this paper, we review the mixture of processes that enable robust understanding of speech across talkers despite the lack of invariance. These processes include (i) automatic pre-speech adjustments of the distribution of energy over acoustic frequencies (normalization); (ii) sensitivity to category-relevant acoustic cues that are invariant across talkers (acoustic invariance); (iii) sensitivity to articulatory/gestural cues, which can be perceived directly (audio-visual integration) or recovered from the acoustic signal (articulatory recovery); (iv) implicit statistical learning of talker-specific properties (adaptation, perceptual recalibration); and (v) the use of past experiences (e.g., specific exemplars) and structured knowledge about pronunciation variation (e.g., patterns of variation that exist across talkers with the same accent) to guide speech perception (exemplar-based recognition, generalization).
Congratulations to Masha Fedzechkina on her article on a bias for efficient information transfer during language learning that has just appeared in the Proceedings of the National Academy of Sciences (link to article).
Here’s some news coverage
- Thanks to the extended podcast coverage by the Skeptic’s Guide to the Universe, which present an interesting take on our study (a couple of details about ambiguity vs. uncertainty are a bit off, but the general message is captured well). Have a look at minutes 13:30 to 22:02. Thanks to Nick Kloehn for making us aware of this piece.
- www.eurekalert.org (e.g., here).
- Check out an extended article on ScienceOmega (Language learning balances clarity and effort)
- Universities at which the research was conducted:
- University of Rochester (Language is shaped by brain’s desire for clarity and ease)
- Georgetown University (PNAS Study: Language Structure Arises from Balance of Clear and Effective Communication).
- Blogs and more: Futurity, Phys.org, ScienceBlog, Science Daily, E-Science News , Sify, TruthDive , BioSpace
More to come soon.
Errata: We are sorry that in our paper we forgot to acknowledge the help of three undergraduate research assistants, Andy Wood, Irene Minkina, and Cassandra Donatelli, in preparing the video animations used during our artificial language learning task.
R code for Jaeger, Graff, Croft and Pontillo (2011): Mixed effect models for genetic and areal dependencies in linguistic typology: Commentary on Atkinson
- Jaeger, Graff, Croft, and Pontillo. 2011. Mixed effect models for genetic and areal dependencies in linguistic typology: Commentary on Atkinson. Linguistic Typology 15(2), 281–319. [if you’re not subscribed to Linguistic Typology, check out this pre-final draft or contact me for an offprint].