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Linguistic and nonlinguistic evaluation of motion events in a path-focused language

Published online by Cambridge University Press:  14 July 2022

Aslı Aktan-Erciyes
Affiliation:
Kadir Has University, Istanbul, Turkey
Emir Akbuğa
Affiliation:
Koç University, Istanbul, Turkey
Feyza Nur Dik
Affiliation:
Koç University, Istanbul, Turkey
Tilbe Göksun*
Affiliation:
Koç University, Istanbul, Turkey
*
*Corresponding author. Email: tgoksun@ku.edu.tr
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Abstract

This study examines how properties of path (the trajectory of motion) and manner (how an action is performed) components of motion events are reflected in linguistic and nonlinguistic motion event conceptualization in a path-focused language, Turkish. In two experiments, we investigated how path and manner differed in salience (i.e., prominence) and ease of expression (EoE, i.e., effort of describing), and how these factors were related to lexicalization and similarity judgments of motion events. In Experiment 1, participants rated motion events based on path and manner salience and EoE and expressed path and manner in a written format. Results indicated that manner was rated as more salient and path as easier to express. Path salience and EoE were related to both types (i.e., number of different expressions) and the total number of paths and manners used. However, manner EoE but not salience was associated with only types and the total number of manners used. In Experiment 2, participants rated the similarity of motion event pairs created using the ratings in Experiment 1. We found that higher manner salience and EoE difference were associated with lower similarity ratings. These findings suggest that salience and EoE of path and manner are related to both linguistic and nonlinguistic aspects of motion event conceptualization.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Manner and path information depicted in video clips

Figure 1

Table 2. Descriptive statistics of EoE, salience, type, and token for path and manner components

Figure 2

Table 3. Relations between salience, EoE, type, and token for path and manner

Figure 3

Table 4. Results of t tests and descriptive statistics for the direction of motion by path/manner ease of expression and salience

Figure 4

Table 5. Types and tokens of path and manner predicted by EoE and salience of path and manner

Figure 5

Table 6. The model summary of similarity judgments

Figure 6

Figure 1. The interaction between manner ease of expression and path salience to predict similarity judgments. The SDs represent path salience on the graph.