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T. Florian Jaeger

dblp:56/3750 · DBLP profile ↗
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28ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 28 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 25 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
psycholinguistics
0.112006
Speakers optimize information density through syntactic reduction · NIPS 2006
Information theory › information measures
information density
0.112006
Speakers optimize information density through syntactic reduction · NIPS 2006

Methods — techniques the papers use, named apart from their topics

stochastic model · 0.1logistic regression · 0.1
YearPublicationVenuePosition
2025 Looping towards certainty: The role of flight loops in homing pigeon navigation
Rithwik John Cherian, T. Florian Jaeger, Dora Biro
CogSci2
2025 Latent speech representations learned through self-supervised learning predict listeners' generalization of adaptation across talkers
Zhengyang Jin, Yuhao Zhu 0001, T. Florian Jaeger
CogSci3
2019 Memory maintenance of gradient speech representations is mediated by their expected utility
Wednesday Bushong, T. Florian Jaeger
CogSci2
2019 Modeling Long-Distance Cue Integration Strategies in Phonetic Categorization
Wednesday Bushong, T. Florian Jaeger
CogSci2
2017 Maintenance of Perceptual Information in Speech Perception
Wednesday Bushong, T. Florian Jaeger
CogSci2
2017 Failure to replicate talker-specific syntactic adaptation
Linda Liu, Zachary Burchill, Michael K. Tanenhaus, T. Florian Jaeger
CogSci4
2016 What do you expect from an unfamiliar talker?
Dave F. Kleinschmidt, T. Florian Jaeger
CogSci2
2015 Production is biased to provide informative cues early: Evidence from miniature artificial languages
Maryia Fedzechkina, T. Florian Jaeger, John C. Trueswell
CogSci2
2015 Supervised and unsupervised learning in phonetic adaptation
Dave F. Kleinschmidt, Rajeev D. S. Raizada, T. Florian Jaeger
CogSci3
2014 Order of nominal conjuncts in visual scene description depends on language
Lindsay Butler, Timothy J. Tilbe, T. Florian Jaeger, Jürgen Bohnemeyer
CogSci3
2014 Contextual confusability leads to targeted hyperarticulation
Esteban Buz, T. Florian Jaeger, Michael K. Tanenhaus
CogSci2
2014 Error-Driven Adaptation of Higher-Level Expectations During Reading
Thomas A. Farmer, Alex B. Fine, Shaorong Yan, Spyridoula Cheimariou, T. Florian Jaeger
CogSci5
2014 On-line Measures of Prediction in a Self-Paced Statistical Learning Task
Elisabeth A. Karuza, Thomas A. Farmer, Alex B. Fine, Francis X. Smith, T. Florian Jaeger
CogSci5
2013 Communicative biases shape structures of newly acquired languages
Maryia Fedzechkina, T. Florian Jaeger, Elissa L. Newport
CogSci2
2013 Syntactic priming in language comprehension allows linguistic expectations to converge on the statistics of the input
Alex B. Fine, T. Florian Jaeger
CogSci2
2013 Communicatively efficient language production and case-marker omission in Japanese
Chigusa Kurumada, T. Florian Jaeger
CogSci2
2013 Linguistic Variability and Adaptation in Quantifier Meanings
Ilker Yildirim, Judith Degen, Michael K. Tanenhaus, T. Florian Jaeger
CogSci4
2012 A belief-updating model of adaptation and cue combination in syntactic comprehension
Dave F. Kleinschmidt, Alex B. Fine, T. Florian Jaeger
CogSci3
2012 A continuum of phonetic adaptation: Evaluating an incremental belief-updating model of recalibration and selective adaptation
Dave F. Kleinschmidt, T. Florian Jaeger
CogSci2
2011 Implicit Context-Specific Learning Leads to Rapid Shifts in Syntactic Expectations
Thomas A. Farmer, Alex B. Fine, T. Florian Jaeger
CogSci3
2011 Functional Biases in Language Learning: Evidence from Word Order and Case-Marking Interaction
Maryia Fedzechkina, T. Florian Jaeger, Elissa L. Newport
CogSci2
2011 Language comprehension is sensitive to changes in the reliability of lexical cues
Alex B. Fine, T. Florian Jaeger
CogSci2
2011 Phonological Encoding of Sentence Production
Caitlin Hilliard, Katrina Furth, T. Florian Jaeger
CogSci3
2011 Topic Shift in Efficient Discourse Production
Ting Qian, T. Florian Jaeger
CogSci2
2011 The learnability of constructed languages reflects typological patterns
Hal Tily, Michael C. Frank, T. Florian Jaeger
CogSci3
2010 A Database for the Exploration of Spanish Planning
Carlos Gómez Gallo, T. Florian Jaeger, Katrina Furth
LREC2
2008 Production in a Multimodal Corpus: how Speakers Communicate Complex Actions
Carlos Gómez Gallo, T. Florian Jaeger, James F. Allen, Mary D. Swift
LREC2
2006 Speakers optimize information density through syntactic reduction
abstract
If language users are rational, they might choose to structure their utterances so as to optimize communicative properties. In particular, information-theoretic and psycholinguistic considerations suggest that this may include maximizing the uniformity of information density in an utterance. We investigate this possibility in the context of syntactic reduction, where the speaker has the option of either marking a higher-order unit (a phrase) with an extra word, or leaving it unmarked. We demonstrate that speakers are more likely to reduce less information-dense phrases. In a second step, we combine a stochastic model of structured utterance production with a logistic-regression model of syntactic reduction to study which types of cues speakers employ when estimating the predictability of upcoming elements. We demonstrate that the trend toward predictability-sensitive syntactic reduction (Jaeger, 2006) is robust in the face of a wide variety of control variables, and present evidence that speakers use both surface and structural cues for predictability estimation.
Roger Levy, T. Florian Jaeger
NIPS2