Replication Data for: Interactions between lexical and syntactic L1-L2 overlap: Effects of gender congruency on L2 sentence processing in L1 Spanish-L2 German speakers

DOI

Dataset Abstract The dataset consists of German self-paced reading data collected from 122 L2 and L1 German speakers. Each sentence (N=96, which includes 48 base sentences for which there is a grammatical (N=48) and an ungrammatical (N=48) version) contains a complex NP as a subject in an embedded clause (e.g. Ich bin dankbar, denn eine neue Schule ist in dem Altbau am Marktplatz. “I am grateful because there is a new school in the old building on the market square.”) The data has been annotated for the following variables: Participant, Sentence, and Target Noun.

Article Abstract Bringing together lines of research from sentence processing and lexical access, this empirical study investigates the interplay between lexical (grammatical gender) and syntactic (word order) cross-linguistic overlap in L2 German. Eighty-six L1 Spanish-L2 German and thirty-six monolingual German adults completed a German self-paced reading task with Noun Phases (NPs) manipulated by L1-L2 gender congruency (congruent, incongruent, neuter) and adjective-noun word order (pre- vs. postnominal adjectives). The study examines the effects of gender congruency, the type of L1-L2 gender mapping (i.e., presence vs. absence of each class in L1 and L2), and L2 proficiency level. Results show that the detection of ungrammatical word order in L2 German interacts with gender congruency in that L2 speakers are only sensitive to word order violations for sentences with gender-congruent nouns. The detection of ungrammaticality for sentences containing gender-incongruent nouns only emerges at higher L2 proficiency levels. These findings underscore the role of cross-linguistic lexical overlap in syntactic processing.

Identifier
DOI https://doi.org/10.18710/YUTP35
Related Identifier IsCitedBy https://doi.org/10.1017/S0142716422000236
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/YUTP35
Provenance
Creator Klassen, Rachel (ORCID: 0000-0002-1909-863X); Kolb, Nadine ORCID logo; Hopp, Holger ORCID logo; Westergaard, Marit ORCID logo
Publisher DataverseNO
Contributor Klassen, Rachel; Kolb, Nadine; Hopp, Holger; Westergaard, Marit; UiT The Arctic University of Norway; NTNU – Norwegian University of Science and Technology; University of Braunschweig; UiT Aurora Center for Language Acquisition, Variation & Attrition: The Dynamic Nature of Languages in the Mind; The Tromsø Repository of Language and Linguistics (TROLLing)
Publication Year 2022
Funding Reference UiT The Arctic University of Norway ; The Research Council of Norway ; The Research Council of Norway 250857
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Klassen, Rachel (UiT The Arctic University of Norway); Kolb, Nadine (UiT The Arctic University of Norway); Hopp, Holger (Technische Universität Braunschweig); Westergaard, Marit (UiT The Arctic University of Norway)
Representation
Resource Type experimental data; Dataset
Format text/plain; type/x-r-syntax; application/pdf
Size 8319; 11771; 346065; 63232; 336002; 16026992; 9932
Version 1.1
Discipline Humanities; Linguistics