Overt language production of German past participles: investigating (ir-)regularity

Tina Marusch*, Lena A. Jäger, Leander Neiβ, Frank Burchert, Lyndsey Nickels

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    202 Downloads (Pure)

    Abstract

    We report two experiments and Bayesian modelling of the data collected. In both experiments, participants performed a long-lag primed picture naming task. Black-and-white line drawings were used as targets, which were overtly named by the participants. Their naming latencies were measured. In both experiments, primes consisted of past participle verbs (er tanzt/er hat getanzt “he dances/he has danced”) and the relationship between primes and targets was either morphological or unrelated. Experiment 1 additionally had phonologically and semantically related prime-target pairs as well as present tense primes. Both in Experiment 1 and 2, participants showed significantly faster naming latencies for morphologically related targets relative to the unrelated verb primes. In Experiment 1, no priming effects were observed in phonologically and semantically related control conditions. In addition, the production latencies were not influenced by verb type.

    Original languageEnglish
    Pages (from-to)289-308
    Number of pages20
    JournalLanguage, Cognition and Neuroscience
    Volume34
    Issue number3
    Early online date4 Oct 2018
    DOIs
    Publication statusPublished - 2019

    Bibliographical note

    Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • overt language production
    • long-lag priming
    • regularity
    • Bayesian analysis
    • German past participles

    Fingerprint

    Dive into the research topics of 'Overt language production of German past participles: investigating (ir-)regularity'. Together they form a unique fingerprint.

    Cite this