Hostname: page-component-74656f9884-skzmx Total loading time: 0 Render date: 2026-11-05T09:27:10.133Z Has data issue: false hasContentIssue false

COMPREHENSION OF FOCUS-TO-ACCENTUATION MAPPING IN SENTENCES WITH ONLY BY ADVANCED CANTONESE LEARNERS AND DUTCH LEARNERS OF ENGLISH

Published online by Cambridge University Press:  19 June 2020

Haoyan Ge*
Affiliation:
The Open University of Hong Kong
Aoju Chen
Affiliation:
Utrecht University
Virginia Yip
Affiliation:
The Chinese University of Hong Kong
*
*Correspondence concerning this article should be addressed to Haoyan Ge, School of Education and Languages, The Open University of Hong Kong, Ho Man Tin, Kowloon, Hong Kong SAR, China. E-mail:hge@ouhk.edu.hk
Rights & Permissions [Opens in a new window]

Abstract

This study investigates L2 comprehension of focus-to-accentuation mapping in English sentences with focus particle only by advanced learners of English whose L1 was either Cantonese or Dutch. Two experiments were conducted to examine (a) whether L2 learners could map accentuation to focus; and (b) whether they could perceive accentuation in English sentences. Results show that accentuation played little role in Cantonese learners’ comprehension of focus, whereas it affected how accurately and quickly Dutch learners and native controls comprehended focus. Dutch learners were even more efficient than native controls in comprehending focus-to-accentuation mapping. Furthermore, both L2 groups could successfully perceive accentuation in English sentences. These findings suggest that multiple interfaces might not be equally problematic for L2 learners with different L1s, and convergence at multiple interfaces in L2 is possible. The comprehension difficulty observed in Cantonese learners can be attributed to their less detailed representation of focus-to-accentuation mapping in L2.

Information

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press
Figure 0

TABLE 1. Language background of L2 learners and English controls (SD in parentheses)

Figure 1

TABLE 2. An example of stimuli in four conditions in Experiment 1

Figure 2

FIGURE 1. Mean percentage of YES response in L2 learners and English controls in Experiment 1. Error bars indicate ± 1SE.

Figure 3

TABLE 3. Best-fit model for YES–NO judgments of L2 learners and English controls in Experiment 1

Figure 4

TABLE 4. Mean RTs (ms) (SD in parentheses) of L2 learners and English controls in four conditions of Experiment 1

Figure 5

FIGURE 2. Mean log-transformed RTs in L2 learners and English controls in Experiment 1. Error bars indicate ± 1SE.

Figure 6

TABLE 5. Best-fit model for log-transformed RTs of L2 learners and English controls in Experiment 1

Figure 7

FIGURE 3. An example of visual displays in Experiment 2.

Figure 8

FIGURE 4. Mean accuracy rate of L2 learners and English controls in Experiment 2. Error bars indicate ± 1SE.

Figure 9

TABLE 6. Best-fit model for accuracy rate of L2 learners and English controls in Experiment 2

Figure 10

TABLE 7. Mean RTs (ms) (SD in parentheses) of L2 learners and English controls in object-accented and verb-accented conditions of Experiment 2

Figure 11

FIGURE 5. Mean log-transformed RTs of L2 learners and English controls in Experiment 2. Error bars indicate ± 1SE.

Figure 12

TABLE 8. Best-fit model for log-transformed RTs of L2 learners and English controls in Experiment 2