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Archibald, John – Second Language Research, 2021
There are several theories which tackle predicting the source of third language (L3) crosslinguistic influence. The two orthogonal questions that arise are which language is most likely to influence the L3 and whether the influence will be wholesale or piecemeal (property-by-property). To my mind, Westergaard's Linguistic Proximity Model (LPM) is…
Descriptors: Multilingualism, Transfer of Training, Cues, Linguistic Theory
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Stringer, David – Second Language Research, 2021
Westergaard (2021) presents an updated account of the Linguistic Proximity Model and the micro-cue approach to the parser as an acquisition device. The property-by-property view of transfer inherent in this approach contrasts with other influential models that assume that third language (L3) acquisition involves the creation of a full copy of only…
Descriptors: Transfer of Training, Linguistic Theory, Second Language Learning, Multilingualism
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Morales-Front, Alfonso; Sanz, Cristina – Second Language Research, 2021
Saussure proposed the division language/parole and argued that language can be studied as a formal system. Fifty years later Chomsky declared competence the core interest of linguistics. Although for years Generative second language acquisition (GenSLA) has adopted this view, a number of recent publications poke holes into the competence bubble.…
Descriptors: Multilingualism, Transfer of Training, Second Language Learning, Native Language
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Schwartz, Bonnie D.; Sprouse, Rex A. – Second Language Research, 2021
In her keynote article advocating the Linguistic Proximity Model for third language (L3) acquisition, Westergaard (2021) presents several arguments against 'copying and restructuring' in nonnative language acquisition, mechanisms central to Schwartz and Sprouse's (1996) Full Transfer/Full Access model of second language (L2) acquisition. In this…
Descriptors: Linguistic Theory, Second Language Learning, Native Language, Transfer of Training
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Ionin, Tania – Second Language Research, 2021
This commentary discusses the recent keynote article in "Second Language Research" by Westergaard (2021), which extends the Micro-cue Model to second language (L2) and third language (L3) acquisition. The commentary comments on such questions as: What makes a given property easy or hard to acquire? How do learners determine similarity?…
Descriptors: Second Language Learning, Multilingualism, Native Language, Linguistic Theory
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Lilong Xu; Boping Yuan – Second Language Research, 2024
This study investigates whether there are different first-language-second-language (L1-L2) dependency resolutions by focusing on less-studied crosslinguistic variances in L2 acquisition of Chinese, a null-subject language, by speakers of English, a non-null-subject language. The overt subject pronoun of a Chinese main clause has free orientation…
Descriptors: Cues, Chinese, Phrase Structure, English
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Bardel, Camilla; Falk, Ylva – Second Language Research, 2021
This text comments on the Keynote article 'Microvariation in multilingual situations: The importance of property-by-property acquisition' by Marit Westergaard, who argues for Full Transfer Potential within the Linguistic Proximity Model in third language (L3) acquisition. The commentary points at some theoretical and methodological issues related…
Descriptors: Native Language, Second Language Learning, Multilingualism, Transfer of Training
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Kida, Shusaku – Second Language Research, 2022
The type of processing-resource allocation (TOPRA) model predicts that the semantic processing of new second language (L2) words can impede the learning of their forms while structural processing can promote it. Using this framework, the present study examined the effects of processing type (semantic, structural, control), exposure frequency (one…
Descriptors: Second Language Learning, Vocabulary Development, Reading Processes, Word Frequency
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Westergaard, Marit – Second Language Research, 2021
In this article, I argue that first language (L1), second language (L2) and third language (L3) acquisition are fundamentally the same process, based on learning by parsing. Both child and adult learners are sensitive to fine linguistic distinctions, and language development takes place in small steps. While the bulk of the article focuses on…
Descriptors: Multilingualism, Linguistic Input, Second Language Learning, Native Language
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Tong, Xiuli; Kwan, Joyce Lok Yin; Wong, Denise Wai Man; Lee, Stephen Man Kit; Yip, Joanna Hew Yan – Journal of Educational Psychology, 2016
Previous studies have suggested that word processing in English as a second language (L2) is affected by first language (L1) orthographic features. However, little is known about what affects L2 Chinese character processing in adult Chinese learners with different L1 orthographies such as Japanese, Korean, and English. With a picture-character…
Descriptors: Chinese, Orthographic Symbols, Semantics, Phonetics
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Wiechmann, Daniel; Kerz, Elma – Language Learning, 2014
Second language learners reach expert levels in relative cue weighting only gradually. On the basis of ensemble machine learning models fit to naturalistic written productions of German advanced learners of English and expert writers, we set out to reverse engineer differences in the weighting of multiple cues in a clause linearization problem. We…
Descriptors: Second Language Learning, Second Language Instruction, Cues, English (Second Language)
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Dupoux, Emmanuel; Parlato, Erika; Frota, Sonia; Hirose, Yuki; Peperkamp, Sharon – Journal of Memory and Language, 2011
Listeners of various languages tend to perceive an illusory vowel inside consonant clusters that are illegal in their native language. Here, we test whether this phenomenon arises after phoneme categorization or rather interacts with it. We assess the perception of illegal consonant clusters in native speakers of Japanese, Brazilian Portuguese,…
Descriptors: Cues, Vowels, Phonology, Classification
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Porretta, Vincent J.; Tucker, Benjamin V. – Second Language Research, 2015
The present investigation examines English speakers' ability to identify and discriminate non-native consonant length contrast. Three groups (L1 English No-Instruction, L1 English Instruction, and L1 Finnish control) performed a speeded forced-choice identification task and a speeded AX discrimination task on Finnish non-words (e.g.…
Descriptors: Role, Attention, Phonetics, Language Processing