The computational implementation of the landscape model: Modeling inferential processes and memory representations of text comprehension
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The complexity of text comprehension demands a computational approach to describe the cognitive processes involved. In this article, we present the computational implementation of the landscape model of reading. This model captures both on-line comprehension processes during reading and the off-line memory representation after reading is completed, incorporating both memory-based and coherence-based mechanisms of comprehension. The overall architecture and specific parameters of the program are described, and a running example is provided. Several studies comparing computational and behavioral data indicate that the implemented model is able to account for cycle-by-cycle comprehension processes and memory for a variety of text types and reading situations.
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Memory encoding of linguistic situation models may not be a result of an 'encoding' operation but may instead be a reflection of the activation state at the end of comprehension, readable from lateral temporal regions and reflecting the strength of a memory trace.
“For example, memory encoding of linguistic situation models may not be a result of an 'encoding' operation but just be a reflection of the activation state at the end of comprehension, which can be read off from lateral temporal regions and reflects the strength of a memory trace (consistent with several functional theories, e.g., Tzeng et al., 2005).”
From Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension (2018) · cites this paper as Tzeng et al., 2005
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Sorted by citations
Hasson, U., Egidi, G., Marelli, M., & Willems, R. M. (2018) · Cognition · doi:10.1016/j.cognition.2018.06.018 · Cited by 157 · see citing works
- Authors
- Tzeng, Y., van den Broek, P., Kendeou, P., & Lee, C.
- Affiliations
- National Chung Cheng University (TW)
- University of Minnesota (US)
- National Kaohsiung Normal University (TW)
- ORCID
- Kendeou, Panayiota
- Venue
- Behavior Research Methods
- Published
- 2005-05
- Volume
- 37
- Issue
- 2
- Pages
- 277-286
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- OpenAlex
- W1973324733
- Cited by
- 62
- References
- 45
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 2 · 2022: 3 · 2021: 5 · 2020: 1 · 2019: 4 · 2018: 5 · 2017: 3 · 2016: 6 · 2015: 4 · 2014: 8 · 2013: 2 · 2012: 1
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Behavior Research Methods (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Minnesota (HD-07151)
- Netherlands Institute for Advanced Study in the Humanities and Social Sciences
- National Science Council
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD07151, T32HD007151)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- text comprehension, computational modeling of reading, memory representation, reading comprehension models
- MeSH terms
- Cognition, Humans, Memory, Reading, Software, User-Computer Interface
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