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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (1)
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Hits 1 – 3 of 3
1
Revisiting the Uniform Information Density Hypothesis ...
Meister, Clara
;
Pimentel, Tiago
;
Haller, Patrick
. - : arXiv, 2021
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2
Revisiting the Uniform Information Density Hypothesis ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cotterell, Ryan
;
Haller, Patrick
. - : Underline Science Inc., 2021
BASE
Show details
3
Revisiting the Uniform Information Density Hypothesis ...
Meister, Clara Isabel
;
Pimentel, Tiago
;
Haller, Patrick
;
Jäger, Lena
;
Cotterell, Ryan
;
Levy, Roger
. - : ETH Zurich, 2021
Abstract:
The uniform information density (UID) hypothesis posits a preference among language users for utterances structured such that information is distributed uniformly across a signal. While its implications on language production have been well explored, the hypothesis potentially makes predictions about language comprehension and linguistic acceptability as well. Further, it is unclear how uniformity in a linguistic signal—or lack thereof—should be measured, and over which linguistic unit, e.g., the sentence or language level, this uniformity should hold. Here we investigate these facets of the UID hypothesis using reading time and acceptability data. While our reading time results are generally consistent with previous work, they are also consistent with a weakly super-linear effect of surprisal, which would be compatible with UID’s predictions. For acceptability judgments, we find clearer evidence that non-uniformity in information density is predictive of lower acceptability. We then explore multiple ... : Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ...
URL:
http://hdl.handle.net/20.500.11850/518992
https://dx.doi.org/10.3929/ethz-b-000518992
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