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Japanese EFL Learners' Processing in English Relativization

Bibliographic Data

ID22299491
AuthorsAkihiro Ito (0000-0001-8549-4350, Aichi Gakuin University, corresponding author)
Year2001
Volume133-134
Pages325-345
Publication date2001-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueITL - International Journal of Applied Linguistics (JOURNAL)
Journal identifiersISSN: 0019-0829 • E-ISSN: 1783-1490
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/itl.133-134.07ito
OpenAlexW2265650365
LanguageEN
References cited17

The purpose of the present study is to investigate the effects of branching type (Factor 1) and grammatical function of noun phrase (NP) (factor 2) of English relative clauses on interlanguage performance among Japanese learners of English as a foreign language (EFL). The sentence combining test was administered to Japanese learners of English. Results indicated that both of the two factors significantly determine the difficulty of English relative clauses. Left-branching (center-embedded) relative clauses have a tendency to be more difficult than right-branching ones. Moreover, it is implied that subject-relative clauses are answered more accurately than object-relative clauses. These findings suggested that branching type and grammatical function of the noun phrase are complimentary determine the difficulty level of English relative clauses. The results implied the validity of KAWAUCHl's (1988) hypothesis that the difficulty order of relative clauses is as follows : OS > 00 > SS > SO. The results are also discussed with the recent theoretical frameworks in psycholinguistic research. The limitation of the present investigation and the directions of the further research are also discussed

Branching (polymer chemistry) · Dependent clause · Interlanguage · Linguistics · Noun · Noun phrase · Phrase · Relative clause · Sentence · Computer Science · EFL/ESL Teaching and Learning · Neurobiology of Language and Bilingualism · Philosophy · Psychology · Second Language Acquisition and Learning

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Citation velocityhistorical
Highly citedNo

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