| Literature DB >> 17331265 |
Jutta L Mueller1, Masako Hirotani, Angela D Friederici.
Abstract
BACKGROUND: The present experiments were designed to test how the linguistic feature of case is processed in Japanese by native and non-native listeners. We used a miniature version of Japanese as a model to compare sentence comprehension mechanisms in native speakers and non-native learners who had received training until they had mastered the system. In the first experiment we auditorily presented native Japanese speakers with sentences containing incorrect double nominatives and incorrect double accusatives, and with correct sentences. In the second experiment we tested trained non-natives with the same material. Based on previous research in German we expected an N400-P600 biphasic ERP response with specific modulations depending on the violated case and whether the listeners were native or non-native.Entities:
Mesh:
Year: 2007 PMID: 17331265 PMCID: PMC1828061 DOI: 10.1186/1471-2202-8-18
Source DB: PubMed Journal: BMC Neurosci ISSN: 1471-2202 Impact factor: 3.288
Figure 1Schematic representation of structure and lexicon of Mini-Nihongo (illustration adapted from [35]). The nodes in the upper box denote word classes, solid lines mark legal transitions between elements of the classes, and dotted lines indicate dependencies between specific class members. Sentences are generated from left to right.
Stimulus examples
| Ichi wa no kamo ga | ni hiki no nezumi o | tobikoeru tokoro desu. |
| Ichi wa no hato o | ni hiki no neko ga | tobikoeru tokoro desu. |
| Ichi wa no kamo ga | ni hiki no | tobikoeru tokoro desu. |
| Ichi wa no hato o | ni hiki no | tobikoeru tokoro desu. |
Gen. = genitive, nom. = nominative, acc. = accusative; incorrect elements are underlined.
Behavioral results
| 96.3% (SD 3.9) | 97.5% (SD 3.6) | |
| 96.1% (SD 3.8) | 96.8% (SD 4.9) | |
| 97.2% (SD 4.0) | 95.2% (SD 5.7) | |
| 97.9% (SD 3.6) | 96.3% (SD 5.5) | |
Mean percentage of accurate grammaticality judgements for native Japanese (n = 19) and trained non-native participants (n = 23) (standard deviation in parentheses).
Figure 2ERPs time-locked to the onset of the second noun for Japanese native speakers (red line: correctly case marked nouns in canonical sentences; orange line: correctly case marked noun in non-canonical sentences; dark blue line: double nominatives (canonical sentences); light blue line: double accusatives (non-canonical sentences). The topographical isovoltage maps represent difference potentials of the case violation minus the correct condition of the same sentence type.
Figure 3ERPs time-locked to the onset of the second noun for trained non-native participants (red: correctly case marked nouns in canonical sentences; orange: correctly case marked noun in non-canonical sentences; dark blue: double nominatives (canonical sentences); light blue line: double accusatives (non-canonical sentences). The topographical isovoltage maps represent difference potentials of the case violation minus the correct condition of the same sentence type.
Global ANOVAs for unscaled (A) and vector-scaled (B) data.
| C | 1,40 | 26.79 | <.0001 | 4.85 | 1,40 | 18.80 | <.0001 | 8.10 |
| C × G | 1,40 | 1.69 | .20 | 4.85 | 1,40 | < 1 | ||
| C × CA | 1,40 | < 1 | 1,40 | 1.19 | .28 | 3.32 | ||
| C × CA × G | 1,40 | 2.39 | .13 | 3.04 | 1,40 | 11.96 | .001 | 3.32 |
| C × R | 1,40 | < 1 | 1,40 | 42.33 | <.0001 | 2.05 | ||
| C × R × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| C × R × CA | 1,40 | < 1 | 1,40 | < 1 | ||||
| C × R × CA × G | 1,40 | 10.96 | <.01 | 0.90 | 1,40 | < 1 | ||
| C × H | 1,40 | 2.43 | .13 | 0.42 | 1,40 | 1.83 | .18 | 0.27 |
| C × H × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| C × H × CA | 1,40 | 3.83 | .06 | 0.57 | 1,40 | < 1 | ||
| C × H × CA × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| C × R × H | 1,40 | 1.29 | .26 | 0.13 | 1,40 | < 1 | ||
| C × R × H × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| C × R × H × CA | 1,40 | 3.34 | .08 | 0.08 | 1,40 | 5.11 | <.05 | 0.17 |
| C × R × H × CA × G | 1,40 | < 1 | 1,40 | 5.47 | <.05 | 0.17 | ||
| G | 1,40 | < 1 | 1,40 | < 1 | ||||
| CA | 1,40 | 1.54 | .22 | 0.08 | 1,40 | < 1 | ||
| CA × G | 1,40 | < 1 | 1,40 | 8.84 | <.01 | 0.01 | ||
| R | 1,40 | < 1 | 1,40 | 44.99 | <.0001 | 0.01 | ||
| R × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| R × CA | 1,40 | < 1 | 1,40 | < 1 | ||||
| R × CA × G | 1,40 | 7.78 | <.01 | 0.01 | 1,40 | < 1 | ||
| H | 1,40 | 1.78 | .19 | 0.01 | 1,40 | 1.00 | .32 | 0.01 |
| H × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| H × CA | 1,40 | 3.66 | .06 | 0.01 | 1,40 | < 1 | ||
| H × CA × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| R × H | 1,40 | < 1 | 1,40 | 1.50 | .22 | 0.003 | ||
| R × H × G | 1,40 | < 1 | 1,40 | < 1 | ||||
| R × H × CA | 1,40 | 3.85 | .06 | 0.001 | 1,40 | 6.42 | <.05 | 0.002 |
| R × H × CA × G | 1,40 | < 1 | 1,40 | 11.06 | <.01 | 0.002 | ||
In the analysis with unscaled data, mean amplitude averages for single conditions were included in a five-factorial ANOVA with four within-subjects factors (C, CA, R, H) and one between-subjects factor (G). For the analysis with scaled data, difference waves were calculated by subtracting mean amplitude averages of the correct condition from the averages of the incorrect condition. The four-factorial ANOVA for scaled data included the within-subject factors (CA, R, H) and the between-subjects factor G. G = Group (native/non-native); C = Condition (correct/incorrect); CA = Case (canonical/non-canonical); R = Region (anterior/posterior); H = Hemisphere (left/right).