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Case Syncretism, Animacy, and Word Order in Continental West Germanic: Neurolinguistic Evidence from a Comparative Study on Standard German, Zurich German, and Fering (North Frisian)

Published online by Cambridge University Press:  31 July 2020

Alexander Dröge*
Affiliation:
University of Marburg
Elisabeth Rabs*
Affiliation:
Saarland University
Jürg Fleischer*
Affiliation:
University of Marburg
Sara K. H. Billion*
Affiliation:
University of Marburg
Martin Meyer*
Affiliation:
University of Zurich
Stephan Schmid*
Affiliation:
University of Zurich
Matthias Schlesewsky*
Affiliation:
University of South Australia
Ina Bornkessel-Schlesewsky*
Affiliation:
University of South Australia
*
University of Marburg, Department of Germanic Linguistics and Forschungszentrum Deutscher Sprachatlas (DSA) Pilgrimstein 16 35032 Marburg, Germany [alexander.droege@uni-marburg.de] [jfleischer@uni-marburg.de] [sara.billion@uni-marburg.de]
Saarland University, Department of Language Science and Technology Building C7.1, Room 1.17 66123 Saarbrücken Germany [erabs@coli.uni-saarland.de]
University of Marburg, Department of Germanic Linguistics and Forschungszentrum Deutscher Sprachatlas (DSA) Pilgrimstein 16 35032 Marburg, Germany [alexander.droege@uni-marburg.de] [jfleischer@uni-marburg.de] [sara.billion@uni-marburg.de]
University of Marburg, Department of Germanic Linguistics and Forschungszentrum Deutscher Sprachatlas (DSA) Pilgrimstein 16 35032 Marburg, Germany [alexander.droege@uni-marburg.de] [jfleischer@uni-marburg.de] [sara.billion@uni-marburg.de]
University of Zurich, Psychological Institute, Division of Neuropsychology Binzmühlestrasse 14/25 CH-8050 Zurich Switzerland [martin.meyer@uzh.ch]
University of Zurich, Phonetics Laboratory, Institute of Computational Linguistics Rämistrasse 71 CH-8006 Zurich Switzerland [stephan.schmid@uzh.ch]
University of South Australia, Cognitive and Systems Neuroscience Research Hub School of Psychology, Social Work and Social Policy GPO Box 2471, Adelaide SA 5001 Australia [matthias.schlesewsky@unisa.edu.au] [ina.bornkessel-schlesewsky@unisa.edu.au]
University of South Australia, Cognitive and Systems Neuroscience Research Hub School of Psychology, Social Work and Social Policy GPO Box 2471, Adelaide SA 5001 Australia [matthias.schlesewsky@unisa.edu.au] [ina.bornkessel-schlesewsky@unisa.edu.au]
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Abstract

To understand a sentence, it is crucial to understand who is doing what. The interplay of morphological case marking, argument serialization, and animacy provides linguistic cues for the processing system to rapidly identify the thematic roles of the arguments. The present event-related brain potential (ERP) study investigates on-line brain responses during argument identification in Zurich German, a High Alemannic dialect, and in Fering, a North Frisian variety, which both exhibit reduced case systems as compared to Standard German. Like Standard German, Zurich German and Fering are Continental West Germanic varieties, and indeed argument processing in sentences with an object-before-subject order engenders a qualitatively similar ERP pattern of a scrambling negativity followed by a P600 in all tested varieties. However, the P600 component—a late positive ERP response, which has been linked to the categorization of task-relevant stimuli—is selectively affected by the most prominent cue for argument identification in each variety, which is case marking in Standard German, but animacy in Zurich German and Fering. Thus, even closely related varieties may employ different processing strategies based on the language-specific availability of syntactic and semantic cues for argument identification.*

Information

Type
Articles
Copyright
© Society for Germanic Linguistics 2020
Figure 0

Figure 1. Grand average (n=27) ERPs of the first DP in the critical sentences at electrode sites FZ and PZ.

Figure 1

Table 1. Paradigm of the definite article in Zurich German.

Figure 2

Figure 2. Means of acceptability judgments by participants (n=23).

Figure 3

Figure 3. Estimated marginal means of acceptability judgments.

Figure 4

Table 2. Acceptability judgments as predicted by Order and Animacy.

Figure 5

Figure 4. Means of reaction times by participants (n=23).

Figure 6

Figure 5. Grand average (n=23) ERPs of the first DP in the critical sentences is shown at electrode sites FZ and PZ.

Figure 7

Figure 6. Difference plots of grand average (n=23) ERPs of the first DP in the critical sentences.

Figure 8

Table 3. ERP results from Zurich German in the time window 200–500 ms.

Figure 9

Figure 7. Grand average (n=23) ERPs of the first DP in the critical sentences at electrode sites FZ and PZ.

Figure 10

Table 4. ERP results from Zurich German in the time window 600–900ms.

Figure 11

Table 5. Paradigm of a-article in Fering.

Figure 12

Figure 8. Means of acceptability judgments by participants (n=21).

Figure 13

Figure 9. Estimated marginal means of acceptability judgments.

Figure 14

Table 6. Acceptability judgments from Order and Animacy.

Figure 15

Figure 10. Means of reaction times of acceptability judgments by participants (n=21).

Figure 16

Figure 11. Grand average (n=21) ERPs of the first DP in the critical sentences at electrode sites FZ and PZ.

Figure 17

Figure 12. Difference plots of grand average (n=21) ERPs of the first DP in the critical sentences.

Figure 18

Figure 13. Grand average (n=21) ERPs of the first DP in the critical sentences at electrode sites FZ and PZ.

Figure 19

Table 7. ERP results from Fering in the time window 300–600 ms.

Figure 20

Table 8. ERP results from Fering in the time window 700–1100 ms.

Figure 21

Figure 14. Results from Standard German (grand average n=27 ERPs of the first DP in the critical sentences).

Figure 22

Figure 15. Results from Standard German (grand average n=27 ERPs of the first DP in the critical sentences).