Analyzing Wrap-Up Effects through an Information-Theoretic Lens
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arXiv
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| Format: | Preprint |
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2022
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| _version_ | 1866911748243587072 |
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| author | Meister, Clara Pimentel, Tiago Clark, Thomas Hikaru Cotterell, Ryan Levy, Roger |
| author_facet | Meister, Clara Pimentel, Tiago Clark, Thomas Hikaru Cotterell, Ryan Levy, Roger |
| contents | Numerous analyses of reading time (RT) data have been implemented -- all in an effort to better understand the cognitive processes driving reading comprehension. However, data measured on words at the end of a sentence -- or even at the end of a clause -- is often omitted due to the confounding factors introduced by so-called "wrap-up effects," which manifests as a skewed distribution of RTs for these words. Consequently, the understanding of the cognitive processes that might be involved in these wrap-up effects is limited. In this work, we attempt to learn more about these processes by examining the relationship between wrap-up effects and information-theoretic quantities, such as word and context surprisals. We find that the distribution of information in prior contexts is often predictive of sentence- and clause-final RTs (while not of sentence-medial RTs). This lends support to several prior hypotheses about the processes involved in wrap-up effects. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2203_17213 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Analyzing Wrap-Up Effects through an Information-Theoretic Lens Meister, Clara Pimentel, Tiago Clark, Thomas Hikaru Cotterell, Ryan Levy, Roger Computation and Language Numerous analyses of reading time (RT) data have been implemented -- all in an effort to better understand the cognitive processes driving reading comprehension. However, data measured on words at the end of a sentence -- or even at the end of a clause -- is often omitted due to the confounding factors introduced by so-called "wrap-up effects," which manifests as a skewed distribution of RTs for these words. Consequently, the understanding of the cognitive processes that might be involved in these wrap-up effects is limited. In this work, we attempt to learn more about these processes by examining the relationship between wrap-up effects and information-theoretic quantities, such as word and context surprisals. We find that the distribution of information in prior contexts is often predictive of sentence- and clause-final RTs (while not of sentence-medial RTs). This lends support to several prior hypotheses about the processes involved in wrap-up effects. |
| title | Analyzing Wrap-Up Effects through an Information-Theoretic Lens |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2203.17213 |