Predictions of Individual Differences in the Acquisition of Native and Non-Native Languages: An Update of BLC Theory
Abstract
:1. Introduction
2. Metatheoretical Framework
- Each language is a complex adaptive system (Mufwene et al. 2017; The Five Graces Group 2009).
- Children learn language in a bottom-up way, through social interaction. Learning mechanisms are not specific to language (Tomasello 2003).
- Mental representations of linguistic constructions emerge from processing (Christiansen and Chater 2016; MacWhinney 2015; O’Grady 2005).
- Network elements are more or less strongly connected (Goldberg 2013; Diessel 2019, p. 10; see also Huettig et al. 2022).
- Constructions (form—meaning mappings) are more or less abstract (Goldberg 2013).
- There is no principled distinction between grammar and lexis (Bybee 2007, p. 287; Croft 2001, pp. 16–17; Jackendoff 2007).
3. The Main Constructs of BLC Theory
3.1. Native Speaker1
3.2. Basic Language Cognition (BLC)
3.3. Extended Language Cognition (ELC)
“ELC is identical to BLC, except that(a) in ELC, utterances that can be understood or produced contain low-frequency lexical items or uncommon morphosyntactic structures, and(b) ELC utterances pertain to written as well as spoken language.In other words, ELC utterances are lexically and grammatically more complex (and often longer) than BLC utterances and they need not be spoken”.
- (i)
- Typological differences between spoken home language(s) and the official national or regional standard language taught in school;
- (ii)
- The complexity of the script with which the standard language is rendered, in particular the transparency or opacity of the grapheme-language relationship (in a variety of meaning-based and sound-based scripts);
- (iii)
- Personal attributes of the student (apart from the possible role of heritability), e.g., intellectual capacities and motivation to learn the standard language and to crack the code of its writing system.
3.4. Core versus Periphery
4. Falsifiable Predictions
5. Related Research Questions
5.1. Linguistic Contents of BLC
5.2. The Cost Function of BLC Acquisition
6. Implications for Research on Individual Differences
7. Discussion
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
1 | Note that, in BLC Theory, the term native speaker does not have normative connotations. Instead, the notion native speaker is a construct (a tool) in a theory aiming to explain IDs in language proficiency. In Hulstijn (2019, p. 159) I suggested, for those who oppose the use of the terms native and non-native, the terms L1ers and L2ers as alternatives for native and non-native speakers. |
2 | |
3 | Thus, so-called heritage speakers (Rothman 2009) can be considered native speakers (Rothman and Treffers-Daller 2014). BLC Theory is targeted at adult native speakers who have acquired BLC. |
4 | In response to a clarification question of one reviewer, I would like to clarify that native speaker and BLC are orthogonal constructs. Typical adult native speakers attain BLC but heritage native speakers may not do so. Learners of non-native languages may or may not attain BLC, depending on a number of factors. |
5 | |
6 | The current view in neurolinguistics appears to be that procedural language processing is mainly subserved by the basal ganglia (and its subdivisions, and their associated circuity), which plays an important role in motor control (Ullman 2001; Morgan-Short and Ullman 2023). With respect to specific types of linguistic cognition, MacWhinney (2017, p. 9) lists the following areas: the auditory cortex (for audition and statistical learning), the inferior frontal gyrus and motor cortex (for articulation), the superior temporal gyrus and the anterior temporal lobe (for the phonological organization of lexical units and mapping of lexical units to meaning), the inferior frontal gyrus (for syntactic processing), the dorsal lateral prefrontal cortex (for assigning case roles), and additional frontal areas (for pragmatics and conversational sequencing). In 2013, the European Commission provided a grant of EUR 600 million for the Human Brain Project (2013–2023). The initial ambitions were high, but the project taught the research community modesty. Much fundamental (mainly descriptive) work was completed, building a research infrastructure, to “further explore the different aspects of brain organisation, and understand the mechanisms behind cognition, learning, or plasticity” (https://www.humanbrainproject.eu) (accessed on 10 December 2023). Thus, experts’ current understanding of language and the brain is partial and likely to become more detailed over the decades to come. |
7 | |
8 | I arrived at this number by consulting (in 2022) all 193 countries’ pages on Wikipedia (English). |
9 | Spoken languages change without a plan or an intention, as a result of the so-called ‘invisible hand’ of the community of its users (i.e., the result of human actions). Changes in spoken languages do not result from the execution of any intentional human design. In contrast, written standard languages are often regulated by authorities. Written standard languages change, therefore, much more slowly (sometimes through new regulations) than spoken languages (Keller 1994, pp. 38, 154; Schmid 2020). |
10 | The PISA reading assessment, administered in 2022 among 15-year old students in 37 participating OECD countries, shows that 26% of students performed below level 2 (OECD 2023), meaning that these students can only “understand the literal meaning of sentences or short passages” (OECD, PISA 2022 Database, Table I.B1.3.2). |
11 | In the case of learning a third, fourth, etc., language, this claim pertains to the difference between the new language and all earlier learned languages. |
12 | The three word-order pairs are: (1) a subject–verb order when the subject takes the first position in main clauses versus a verb–subject order when another constituent than the subject takes the first position; (2) the presence of a separation of the auxiliary and main verb in main clauses versus the absence of such a separation in subclauses; and (3) the verb being second in main clauses versus the verb being the final word in subclauses. |
13 | The term cost in this paragraph refers to exposure cost, not to processing cost, as used in the cognitive neuroscience of bilingualism. |
14 | For an example of two speech-segmentation tasks, aiming at assessing solely BLC in native speakers of Dutch differing in age and level of education, see Hulstijn and Andringa (2014). Favier and Huettig (2021) designed a grammatical acceptability test with two sets of sentences: (1) sentences with grammatical constructions that a panel of 23 linguists had rated as “virtually known by all adult native speakers” (p. 3), called “core” items and (2) items that the panelists had rated as belonging to the “periphery” of grammar. The test was administered to 38 native speakers of Dutch with either high or low literacy experience. With this methodology, the researchers were able to investigate whether an interaction existed between familiarity with core versus peripheral grammar, on the one hand, and high versus low literacy of participants on the other. |
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Hulstijn, J. Predictions of Individual Differences in the Acquisition of Native and Non-Native Languages: An Update of BLC Theory. Languages 2024, 9, 173. https://doi.org/10.3390/languages9050173
Hulstijn J. Predictions of Individual Differences in the Acquisition of Native and Non-Native Languages: An Update of BLC Theory. Languages. 2024; 9(5):173. https://doi.org/10.3390/languages9050173
Chicago/Turabian StyleHulstijn, Jan. 2024. "Predictions of Individual Differences in the Acquisition of Native and Non-Native Languages: An Update of BLC Theory" Languages 9, no. 5: 173. https://doi.org/10.3390/languages9050173
APA StyleHulstijn, J. (2024). Predictions of Individual Differences in the Acquisition of Native and Non-Native Languages: An Update of BLC Theory. Languages, 9(5), 173. https://doi.org/10.3390/languages9050173