Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-08T22:53:38.363Z Has data issue: false hasContentIssue false

Figure and Ground in spatial language: evidence from German and Korean

Published online by Cambridge University Press:  07 March 2019

SOONJA CHOI
Affiliation:
University of Vienna and San Diego State University
FLORIAN GOLLER
Affiliation:
University of Vienna
UPYONG HONG
Affiliation:
Konkuk University
ULRICH ANSORGE
Affiliation:
University of Vienna
HONGOAK YUN*
Affiliation:
Jeju National University
*
†E-mail for correspondence: Hongoak Yun at oaktreepark@gmail.com.
Rights & Permissions [Opens in a new window]

Abstract

We investigate how German and Korean speakers describe everyday spatial/motion events, such as putting a cup on the table. In these motion events, the moving object (e.g., cup) and the non-moving reference object (e.g., table) take on the roles of Figure and Ground, respectively. Figure(F) and Ground(G) thus have distinct perceptual properties and assume conceptually asymmetric roles (entity moving along a trajectory vs. stationary reference frame). We examine the degrees to which speakers distinguish between F and G semantically (spatial/Path terms, e.g., on, in) and syntactically (grammatical roles, e.g., subject, object). Participants described events involving two objects that switched their F-G roles (put cup(F) on board(G) and put board(F) under cup(G)). German speakers use distinct Path terms (e.g., auf, in) for differential F-G relations, thus encoding the F-G asymmetry. In contrast, Korean speakers use the same terms (e.g., kkita ‘fit.tightly’) and the same syntactic constructions regardless of switches in F-G roles. These cross-linguistic differences are evident for Non-typical events (Put board(F) under cup(G)), showing that the encoding of the asymmetry interacts with speakers’ everyday experiences of motion events. We argue that the differences reflect the interactions between the Path lexicon and spatial syntax, and language-specific viewpoints of the F-G relation.

Information

Type
Article
Copyright
Copyright © UK Cognitive Linguistics Association 2019 
Figure 0

Fig. 1. Schematic illustration of Figure (F), Ground (G), and Path in a dynamic motion event. The Figure is the moving entity that follows a particular trajectory/Path (e.g., into, depicted by the arrow) with respect to the Ground. The broken circles indicate the Figure’s locations during its movement along the trajectory through time and space. The Ground is the non-moving reference entity to which the Figure moves. As moving entity, Figure is more perceptually salient (depicted by thick contour) than Ground. Figure and Ground thus have differential and asymmetric roles in a motion event.

Figure 1

Fig. 2. Joining a cap and a pen. In 2a the agent puts the cap (F) on the pen (G), and in 2b the agent puts the pen (F) into its cap (G). Notice that the F-G roles are switched between 2a and 2b.

Figure 2

table 1. Eight types of spatial relation and two Paths (Path A and Path B) tested for each type

Figure 3

Fig. 3. Schematic illustration of video pair examples for each relation type. The Relation Type (1 through 8) and Path (A and B) correspond to those in Table 1. The Figure-Ground roles of Path A are switched in Path B.

Figure 4

Fig. 4. Average proportions of different Path terms used for video pairs by Relation (Loose-fit vs. Tight-fit) and by Language. Within a video pair, the two events have opposite F-G roles, Path A and Path B. Korean verbs are compared against German prepositions (4a) as well as against German VPs (4b). In all cases, German speakers used different Path terms significantly more often than did Korean speakers. Error bars indicate SEs of the mean proportions.

Figure 5

table 2. Fixed effects in mixed models comparing Korean Path verbs with German prepositions (Model a) and with German VPs (Model b)

Figure 6

table 3. Fixed effects of Relation (Loose-fit vs. Tight-fit) in mixed models on different Path terms in each language (German prepositions, Korean verbs)

Figure 7

Fig. 5. Average proportions of different Path terms used for video pairs by Relation Type for each language, German prepositions (5a) and Korean verbs (5b). German speakers predominantly produced different Path terms contrasting between the two opposing Paths of event pairs and did so across all eight relation types at similar rates. In contrast, Korean speakers primarily produced the same Path terms (i.e., low rates of different terms) for all four types of Tight-fit relations and for Loose-encirclement and Loose-containment. For Loose-support and Loose-cover, Korean speakers produced increased amounts of different Path terms. Error bars indicate SEs of the mean proportions.

Figure 8

table 4b. Three most frequently used verbs in Korean for each Relation Type by Path type (A and B)

Figure 9

table 4a. Three most frequently used prepositions in German for each Relation Type by Path type (A and B)

Figure 10

table 5. Percentages of Correct, Reverse, Other types of F-G syntactic construction by Language, Relation type, and by Path

Figure 11

table 6. Percentages of ‘Correct’ F-G syntax by Language and by Relation Type; within-language comparison between Path A and Path B for each Relation Type (note that, in contrast to what was stated in the ‘Material and methods’ section, typicality was now strictly defined by a higher rate of ‘Correct’ F-G syntax uses)

Figure 12

table 7. Fixed effects in mixed model on data of ‘Reverse’ syntax

Figure 13

Fig. 6. Proportions of reverse F-G syntax by Typicality, Language, and Relation (Loose-fit vs. Tight-fit). Overall, speakers reversed F-G syntax significantly more for Non-typical than for Typical Paths. But Korean speakers produced significantly more reverse F-G syntax than German speakers particularly for Non-typical Paths. Error bars indicate SEs of the mean proportions.

Figure 14

table 8. Fixed effects of Language (German, Korean) in mixed model on data of ‘Reverse’ syntax split by Typicality

Figure 15

table 9. Fixed effects of Language and F-G syntax in mixed model predicting path expressions

Supplementary material: File

Choi et al. supplementary material

Appendix SA

Download Choi et al. supplementary material(File)
File 25.7 KB