Startseite Competing factors in SLA: how the CASP model of SLA explains the acquisition of English restrictive relative clauses by native speakers of Arabic and Korean
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Competing factors in SLA: how the CASP model of SLA explains the acquisition of English restrictive relative clauses by native speakers of Arabic and Korean

  • John Hitz EMAIL logo
Veröffentlicht/Copyright: 29. Mai 2023

Abstract

The Complex Adaptive Systems Principles (CASP) model of SLA claims that L1 transfer results when language processing effort is minimized. This claim was investigated by a self-paced on-line sentence judgment task in which L1 Arabic and Korean speakers and a control group of L1 English speakers read and judged English subject, direct object, and oblique relative clauses (RCs) in gapped and resumptive pronoun (RP) conditions. It was hypothesized that L1 influence would cause the Arabic speakers to accept English RCs with RPs more frequently than Korean speakers because RPs are acceptable in Arabic direct object and oblique RCs, whereas Korean bans RPs in these RC types. It was also hypothesized that the L2 English speakers would accept RPs more often than the L1 English speakers because RPs would ease L2 sentence processing. As predicted, L1 Arabic speakers accepted RPs more frequently than L1 Korean speakers, a transfer effect, and both L2 English groups accepted RPs more frequently than L1 English speakers, a processing effect. The results thus support the CASP model’s claim that L1 transfer is conditioned by language processing and other complex SLA processes that interact with one another.


Corresponding author: John Hitz, Department of English, University of Central Oklahoma, 100 North University Drive, Edmond, OK, 73034, USA, E-mail:

Appendix 1

Token Set 1

The boy who always compliments us has a great attitude.

The boy who he always compliments us has a great attitude.

The boy who we always compliment has a great attitude.

The boy who we always compliment him has a great attitude.

The boy who we always give compliments to has a great attitude.

The boy who we always give compliments to him has a great attitude.

Token Set 2

The gentleman who seated me smiled in a friendly way.

The gentleman who he seated me smiled in a friendly way.

The gentleman who I seated smiled in a friendly way.

The gentleman who I seated him smiled in a friendly way.

The gentleman who I offered a seat to smiled in a friendly way.

The gentleman who I offered a seat to him smiled in a friendly way.

Token Set 3

The man who sheltered us during the thunderstorm asked many questions.

The man who he sheltered us during the thunderstorm asked many questions.

The man who we sheltered during the thunderstorm asked many questions.

The man who we sheltered him during the thunderstorm asked many questions.

The man who we gave shelter to during the thunderstorm asked many questions.

The man who we gave shelter to him during the thunderstorm asked many questions.

Token Set 4

The people who notice us tend to wear the latest fashions.

The people who they notice us tend wear the latest fashions.

The people who we notice tend to wear the latest fashions.

The people who we notice them tend to wear the latest fashions.

The people who we pay attention to tend to wear the latest fashions.

The people who we pay attention to them tend to wear the latest fashions.

Token Set 5

The policeman who informed us about the accident was very friendly.

The policeman who he informed us about the accident was very friendly.

The policeman who we informed about the accident was very friendly.

The policeman who we informed him about the accident was very friendly.

The policeman who we gave information to about the accident was very friendly.

The policeman who we gave information to him about the accident was very friendly.

Token Set 6

The relatives who visited us last night enjoyed the evening.

The relatives who they visited us last night enjoyed the evening.

The relatives who we visited last night enjoyed the evening.

The relatives who we visited them last night enjoyed the evening.

The relatives who we paid a visit to last night enjoyed the evening.

The relatives who we paid a visit to them last night enjoyed the evening.

Token Set 7

The student who helps me works ten hours a day.

The student who she helps me works ten hours a day.

The student who I help works ten hours a day.

The student who I help her works ten hours a day.

The student who I provide assistance to works ten hours a day.

The student who I provide assistance to her works ten hours a day.

Token Set 8

The woman who tipped the young man was very thankful.

The woman who she tipped the young man was very thankful.

The woman who the young man tipped was very thankful.

The woman who the young man tipped her was very thankful.

The woman who the young man gave a tip to was very thankful.

The woman who the young man gave a tip to her was very thankful.

Appendix 2

Sentence judgments: Main effects and interactions

Effect Num DF Den DF F value Pr > F
Native Level 4 80.5 2.65 0.0391
Clause 2 971 8.66 0.0002
Native Level*Clause 8 970 1.74 0.0844
GAP/RP 1 971 1,038.70 <0.0001
Native_Level*GAP/RP 4 970 125.46 <0.0001
Clause*GAP/RP 2 971 69.80 <0.0001
Native Level*Clause*GAP/RP 8 970 4.54 <0.0001

Appendix 3

Main effects: Results of the mixed-model ANOVAs for total time

Effect Num df Den df F p-value
Native_Level 4 80.5 1.78 0.142
Clause 2 3,970 174.14 <0.001
Native_Level*Clause 8 3,970 1.32 0.228
Pronoun 1 3,970 91.94 <0.001
Native_Level*Pronoun 4 3,970 3.13 0.014
Clause*Pronoun 2 3,970 1.43 0.240
Native_Level*Clause*Pronoun 8 3,970 1.35 0.215

Appendix 4: Reading times of individual words

Figure 1: 
Subject RCs with RPs.
Figure 1:

Subject RCs with RPs.

Figure 2: 
Subject RCs with gaps.
Figure 2:

Subject RCs with gaps.

Figure 3: 
Direct object RCs with gaps.
Figure 3:

Direct object RCs with gaps.

Figure 4: 
Direct object RCs with RPs.
Figure 4:

Direct object RCs with RPs.

Figure 5: 
ORCs with gaps.
Figure 5:

ORCs with gaps.

Figure 6: 
ORCs with RPs.
Figure 6:

ORCs with RPs.

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Received: 2022-07-27
Accepted: 2023-05-08
Published Online: 2023-05-29
Published in Print: 2024-11-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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