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Sara D Beck

Biographic Data

ID3076541
NAMESara D Beck
GIVEN NAMESSara D
FAMILY NAMEBeck
SIGNATUREBECK S D
AFFILIATIONSUniversity of Tübingen
ORCID0000-0002-5951-612X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS5
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Who said it—and did it fit the speaker's age? How age-typicality of named objects improves source memory

    Open Access•Christiana Chaidaridou, Sara D Beck et al.•ARTICLE•Frontiers in Language Sciences•2026

    Memory for who said what can help native and non-native listeners identify critical information for use in conversations. In this study, source memory for object-speaker associations was tested for listeners differing in language background and nativeness. Native and non-native participants of German first heard the voice of a child and an adult speaker name photographs of objects with age-typical characteristics (e.g., a board book for children …

  • Who said it? Native and non-native listeners' source memory for object-speaker associations

    Open Access•Sara D Beck, Adna Ferrin Weber et al.•ARTICLE•Frontiers in Language Sciences•2024

    Memory for who said what can help native and non-native listeners identify critical information for use in conversations. In two experiments, source memory for object-speaker associations was tested for listeners varying in language proficiency. Native and non-native participants of English first heard speakers name objects with prototypical color (e.g., broccoli) before they had to indicate who had previously named each object. Speakers either c…

  • What Fires Together, Wires Together

    Open Access•Simone A Sprenger, Simone Sprenger et al.•ARTICLE•Languages•2024•References: 29

    This study investigated the processing of lexical elements of idioms in isolation. Using visual word priming, spreading activation for idiomatically related word pairs (e.g., pop-question) was compared to that for semantically related (e.g., answer-question) and unrelated word pairs (e.g., trim-question) in two experiments varying in SOA (500 ms and 350 ms). In line with hybrid theories of idiom representation and processing, facilitatory priming…

  • Context and Literality in Idiom Processing

    Open Access•Sara D Beck, Adna Ferrin Weber et al.•ARTICLE•Journal of Psycholinguistic…•2020•Cited by: 5•References: 31

    In a self-paced reading study, we investigated how effects of biasing contexts in idiom processing interact with effects of idiom literality. Specifically, we tested if idioms with a high potential for literal interpretation (e.g., break the ice) are processed differently in figuratively and literally biasing contexts than idioms with a low potential (e.g., lose one's cool). Participants read sentences that biased towards a figurative or literal …

  • Context and Literality in Idiom Processing

    Open Access•Sara D Beck, Adna Ferrin Weber et al.•ARTICLE•Journal of Psycholinguistic…•2020•Cited by: 5•References: 31

    In a self-paced reading study, we investigated how effects of biasing contexts in idiom processing interact with effects of idiom literality. Specifically, we tested if idioms with a high potential for literal interpretation (e.g., break the ice) are processed differently in figuratively and literally biasing contexts than idioms with a low potential (e.g., lose one's cool). Participants read sentences that biased towards a figurative or literal …

  • Context and Literality in Idiom Processing

    Open Access•Sara D Beck, Adna Ferrin Weber et al.•ARTICLE•Journal of Psycholinguistic…•2020•Cited by: 5•References: 31

    In a self-paced reading study, we investigated how effects of biasing contexts in idiom processing interact with effects of idiom literality. Specifically, we tested if idioms with a high potential for literal interpretation (e.g., break the ice) are processed differently in figuratively and literally biasing contexts than idioms with a low potential (e.g., lose one's cool). Participants read sentences that biased towards a figurative or literal …

  • Who said it? Native and non-native listeners' source memory for object-speaker associations

    Open Access•Sara D Beck, Adna Ferrin Weber et al.•ARTICLE•Frontiers in Language Sciences•2024

    Memory for who said what can help native and non-native listeners identify critical information for use in conversations. In two experiments, source memory for object-speaker associations was tested for listeners varying in language proficiency. Native and non-native participants of English first heard speakers name objects with prototypical color (e.g., broccoli) before they had to indicate who had previously named each object. Speakers either c…

  • What Fires Together, Wires Together

    Open Access•Simone A Sprenger, Simone Sprenger et al.•ARTICLE•Languages•2024•References: 29

    This study investigated the processing of lexical elements of idioms in isolation. Using visual word priming, spreading activation for idiomatically related word pairs (e.g., pop-question) was compared to that for semantically related (e.g., answer-question) and unrelated word pairs (e.g., trim-question) in two experiments varying in SOA (500 ms and 350 ms). In line with hybrid theories of idiom representation and processing, facilitatory priming…

  • Who said it—and did it fit the speaker's age? How age-typicality of named objects improves source memory

    Open Access•Christiana Chaidaridou, Sara D Beck et al.•ARTICLE•Frontiers in Language Sciences•2026

    Memory for who said what can help native and non-native listeners identify critical information for use in conversations. In this study, source memory for object-speaker associations was tested for listeners differing in language background and nativeness. Native and non-native participants of German first heard the voice of a child and an adult speaker name photographs of objects with age-typical characteristics (e.g., a board book for children …

History (3 works) · Language, Metaphor, and Cognition (3 works) · Linguistics (3 works) · Psychology (3 works) · Computer Science (2 works) · Neurobiology of Language and Bilingualism (2 works) · Philosophy (2 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Co-occurrence (1 works)

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