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Study III investigates L2 learners’ interpretation on DCL-first and DCL-second

ORCs and ambiguity resolution of DCL phrases.

3.3.1 Subjects

The subjects recruited in Study III were the same as those who had participated in

Studies I and II. They took part in this study after finishing the previous studies.

3.3.2 Methods and Materials

In this study, only an interpretation (IT) task was conducted to investigate whether

context can take effect on L2 learners’ interpretation of ORCs with different DCL

positions. The task consisted of three parts with three types of context: context-free (i.e.

sentence in isolation), biasing and supporting. Each part had eight items but these items

were randomized. A summary of the test items in the two parts is illustrated in Table

3-9.

Table 3-9 A Summary of the Test Items for the IT Task of Study III

Major Types Number Questions

Part I Part II Part III

DCL-first 12 1,2,3,5 1,2,3,4 2,3,4,6

DCL-second 12 4,6,7,8 5,6,7,8 1,5,7,8

Total 24

In this task, two questions were included: one question for the interpretation of

RCs and the other for the ambiguity resolution in RCs. However, Question 1 was

included in every type but Question 2 was asked only in the case of DCL-first structures.

The subjects were asked to read a sentence and then choose an answer from three

options provided for each question based on their interpretation of the sentence.

Part I contained isolated ORCs without context. Table 3-10 is an example of a test

item in Part I.

Table 3-10 An Example of a Test Item of Part I4 in Study III

Zhe wei xiaopengyou xihuan de laoshi piqi hen hao.

‘The teacher that the child likes has good temper.’

1. Qingwen shi shui piqi hao?

‘Who has good tempter?’

( ) A. Laoshi ( ) B. Xiaopengyou ( ) C. Laoshi huo Xiaopengyou ‘teacher’ ‘little.child’ ‘teacher or little.child’

2. Qingwen “zhe wei” zhi de shi shui?

‘Who does “this” modify?’

( ) A. Laoshi ( ) B. Xiaopengyou ( ) C. Laoshi huo Xiaopengyou ‘teacher’ ‘little.child’ ‘teacher or little.child’

As can be seen above, Option A was the answer to Question 1 since laoshi ‘teacher’

was the head noun, and Option C was the preferable answer to Question 2 because the

DCL phrase could modify either the head noun laoshi ‘teacher’ or the adjacent noun

xiaopengyou ‘little child’.

Part II required the subjects to firstly read a biasing context and then read a test

sentence. The context biasing the answer to Question 1 and the association with the

4 The test sentences in the Part I were presented in written form with traditional Chinese characters without pinyin or English translations.

head noun for Question 2. On a basis of their interpretation, they needed to choose an

answer from three options provided. Table 3-11 is an example of a test item in Part II.

Table 3-11 An Example of a Test Item of Part II5 in Study III

You yi ge xiaopengyou zai youzhiyuan feichang ting laoshi de hua.

‘A child listens to teachers’ words at the kindergarten.’

bei qita xiaopengyou qifu le, ye buhui gen tamen chaojia.

‘Even if he is teased by other children, he will not argue with them.’

Zhe wei xiaopengyou xihuan de laoshi piqi hen hao.

‘The teacher that the child likes has good temper.’

1. Qingwen shi shui piqi hao?

In the example, the previous context discussed how xiaopengyou ‘little child’ is

kind and likely to have a good temper. But xiaopengyou is not the head noun of the test

sentence. Thus, the context is biasing and it may result in the wrong interpretation to

answer Question 1 by the subjects. Even though the context shows supportive

information for xiaopengyou ‘little child’, Option B is the answer to Question 1 in that

laoshi ‘teacher’ is still the head noun of the RC. To answer Question 2, the highlight of

5 The test sentences in the Part II were presented in written form with traditional Chinese characters without pinyin or English translations.

xiaopengyou in the context is likely to bias the association with the head noun and the

subjects may choose the adjacent noun xiaopengyou instead of the head noun. Option

B is the preferable answer to Question 2 since the DCL phrase can modify either the

head noun laoshi or the adjacent noun xiaopengyou in a DCL-ORC structure.

In Part III, the subjects were asked to read a supporting context and then a test

sentence. The context supported the answer to Question1 and supported the head noun

association for Question 2. Finally, they needed to choose an answer from the three

options for each question. Table 3-12 illustrates an example of a test item in Part III.

Table 3-12 An Example of a Test Item of Part III6 in Study III

Laoshi yidingyao you naixin, you xiaopengyou fancuo ye bukeyi shengqi.

‘A teacher must have patience. Although children make mistakes, he or she cannot be angry.’

Zhe wei xiaopengyou xihuan de laoshi piqi hen hao.

‘The teacher that the child likes has good temper.’

1. Qingwen shi shui piqi hao?

6 The test sentences in the Part III were presented in written form with traditional Chinese characters without pinyin or English translations.

From the example shown above, the sentences in context show that laoshi ‘teacher’

must be patient and have a good temper. In the test item, laoshi is the head noun of the

test sentence. Therefore, this context can facilitate the subjects’ interpretation for

Question 1. Option C is the answer to Question 1 because it is the head noun of the RC.

Additionally, for Question 2, since the context described more information about the

head noun laoshi, the context tended to support the subjects’ DCL phrase association

with the head noun laoshi instead of xiaopengyou ‘little child’. Option A is the

preferable to Question 2 in that either laoshi or xiaopengyou can be modified by the

DCL phrase.

For the complete version of the items of Part I, Part II and Part III in Study III,

please refer to Appendix E.

3.3.3 Procedure

Part I, Part II and Part III were conducted in order. The answer to Question 1 was

given 1 point and the accuracies of different RC types were calculated and analyzed.

As for Question 2, the frequencies of different options in every item were counted and

analyzed by Chi-square.

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