Papers, Presentations, etc.

What did you read in 2015?

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Another year has passed and academic platform bombard us with end-of-year summaries. So, here are the most-read HLP Lab papers of 2015. Congratulations to Dave Kleinschmidt, who according to ResearchGate leads the 2015 HLP Lab pack with his beautiful paper on the ideal adapter framework for speech perception, adaptation, and generalization. The paper was cited 22 times in the first 6 months of being published! Well deserved, I think … as a completely neutral (and non-ideal) observer ;).

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Most read HLP Lab papers on ResearchGate. Speech perception, syntactic alignment in production, and … typology! mostly agreed, Read the rest of this entry »

The (in)dependence of pronunciation variation on the time course of lexical planning

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Language, Cognition, and Neuroscience just published Esteban Buz​’s paper on the relation between the time course of lexical planning  and the detail of articulation (as hypothesized by production ease accounts).

Several recent proposals hold that much if not all of explainable pronunciation variation (variation in the realization of a word) can be reduced to effects on the ease of lexical planning. Such production ease accounts have been proposed, for example, for effects of frequency, predictability, givenness, or phonological overlap to recently produced words on the articulation of a word. According to these account, these effects on articulation are mediated through parallel effects on the time course of lexical planning (e.g., recent research by Jennifer Arnold, Jason Kahn, Duane Watson, and others; see references in paper).


This would indeed offer a parsimonious explanation of pronunciation variation. However, the critical test for this claim is a mediation analysis, Read the rest of this entry »

CUNY 2015 plenary

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As requested by some, here are the slides from my 2015 CUNY Sentence Processing Conference plenary last week:

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I’m posting them here for discussion purposes only. During the Q&A several interesting points were raised. For example Read the rest of this entry »

HLP Lab at CUNY 2015

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We hope to see y’all at CUNY in a few weeks. In the interest of hopefully luring to some of our posters, here’s an overview of the work we’ll be presenting. In particular, we invite our reviewers, who so boldly claimed (but did not provide references for the) triviality of our work ;), to visit our posters and help us mere mortals understand.

  • Articulation and hyper-articulation
  • Unsupervised and supervised learning during speech perception
  • Syntactic priming and implicit learning during sentence comprehension
  • Uncovering the biases underlying language production through artificial language learning

Interested in more details? Read on. And, as always, I welcome feedback. (to prevent spam, first time posters are moderated; after that your posts will always directly show)

Read the rest of this entry »

Speech recognition: Recognizing the familiar, generalizing to the similar, and adapting to the novel

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At long last, we have finished a substantial revision of Dave Kleinschmidt‘s opus “Robust speech perception: Recognize the familiar, generalize to the similar, and adapt to the novel“. It’s still under review, but we’re excited about it and wanted to share what we have right now.

Phonetic recalibration via belief updating
Figure 1: Modeling changes in phonetic classification as belief updating. After repeatedly hearing a VOT that is ambiguous between /b/ and /p/ but occurs in a word where it can only be a /b/, listeners change their classification of that sound, calling it a /b/ much more often. We model this as a belief updating process, where listeners track the underlying distribution of cues associated with the /b/ and /p/ categories (or the generative model), and then use their beliefs about those distributions to guide classification behavior later on.

The paper builds on a large body of research in speech perception and adaptation, as well as distributional learning in other domains to develop a normative framework of how we manage to understand each other despite the infamous lack of invariance. At the core of the proposal stands the (old, but often under-appreciated) idea that variability in the speech signal is often structured (i.e., conditioned on other variables in the world) and that an ideal observer should take advantage of that structure. This makes speech perception a problem of inference under uncertainty at multiple different levels Read the rest of this entry »

HLP Lab and collaborators at CMCL, ACL, and CogSci

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The summer conference season is coming up and HLP Lab, friends, and collaborators will be presenting their work at CMCL (Baltimore, joint with ACL), ACL (Baltimore), CogSci (Quebec City), and IWOLP (Geneva). I wanted to take this opportunity to give an update on some of the projects we’ll have a chance to present at these venues. I’ll start with three semi-randomly selected papers. Read the rest of this entry »

Presentation at CNS symposium on “Prediction, adaptation and plasticity of language processing in the adult brain”

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Earlier this week, Dave Kleinschmidt and I gave a presentation as part of a mini-symposium at Cognitive Neuroscience Conference  on “Prediction, adaptation and plasticity of language processing in the adult brain” organized by Gina Kuperberg.  For this symposium we were tasked to address the following questions:

  1. What is prediction and why do we predict?
  2. What is adaptation and why do we adapt?
  3. How do prediction and adaptation relate?

Although we address these questions in the context of language processing, most of our points are pretty general. We aim to provide intuitions about the notions of distribution, prediction, distributional/statistical learning and adaptation. We walked through examples of belief-updating, intentionally keeping our presentation math-free. Perhaps some of the slides are of interest to some of you, so I attached them below. A more in-depth treatment of these questions is also provided in Kleinschmidt & Jaeger (under review, available on request).

Comments welcome. (sorry – some of the slides look strange after importing them and all the animations got lost but I think they are all readable).

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It was great to see these notions discussed and related to ERP, MEG, and fMRI research in the three other presentations of the symposium by Matt Davis, Kara Federmeier and Eddy Wlotko, and Gina Kuperberg. You can read their abstracts following the link to the symposium I included above.