Neural Correlates of Processing Syntax in Music and ... - PubMan
Neural Correlates of Processing Syntax in Music and ... - PubMan
Neural Correlates of Processing Syntax in Music and ... - PubMan
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Language Perception 52<br />
cross-language variation makes it difficult to ma<strong>in</strong>ta<strong>in</strong> the belief <strong>in</strong> one “universal<br />
stage” <strong>of</strong> grammatical learn<strong>in</strong>g (Bates & Marchman, 1988). Moreover, obvious developmental<br />
progress when acquir<strong>in</strong>g language can be observed <strong>in</strong> children (proposed to<br />
have full grammatical competence). Generativists consider this development as biologically<br />
driven with three possible scenarios that may account for it: [1] it may result from<br />
improvements <strong>in</strong> other doma<strong>in</strong>s; [2] it may also result from maturation (e.g., <strong>of</strong> the<br />
bra<strong>in</strong>); or [3] even though the basic pr<strong>in</strong>ciples <strong>of</strong> grammar are <strong>in</strong>nate, the child has to<br />
adapt gradually to the grammar <strong>of</strong> its particular language (cf. Clahsen, 1996).<br />
The other ma<strong>in</strong> class <strong>of</strong> theories, the <strong>in</strong>teractionist view assumes that children acquire<br />
their l<strong>in</strong>guistic knowledge by <strong>in</strong>teractions with their environment. It proposes language<br />
development as the product <strong>of</strong> doma<strong>in</strong>-general learn<strong>in</strong>g mechanisms. “Usage-based”<br />
theories assume that children develop l<strong>in</strong>guistic competence gradually, learn<strong>in</strong>g to produce<br />
new constructions item by item rather than triggered by pre-specified grammatical<br />
rules (see, e.g., Tomasello, 2000). The acquisition is assumed to be ma<strong>in</strong>ly based on<br />
statistical regularities <strong>in</strong> the <strong>in</strong>put. Accumulat<strong>in</strong>g evidence suggests that l<strong>in</strong>guistic facts<br />
can be learned by this way without rely<strong>in</strong>g on the abstract or implicit pr<strong>in</strong>ciples proposed<br />
<strong>in</strong> the theory <strong>of</strong> universal grammar. The language <strong>in</strong>put was found to conta<strong>in</strong><br />
relevant features <strong>in</strong> sufficient abundance to support statistically based acquisition <strong>of</strong><br />
several seem<strong>in</strong>gly complex facts about language. 9<br />
Neurophysiological correlates <strong>of</strong> language acquisition<br />
Neurophysiologic measures may also provide an important additional source <strong>of</strong> <strong>in</strong>formation<br />
for a better underst<strong>and</strong><strong>in</strong>g <strong>of</strong> language acquisition. Friederici (2005) reviewed<br />
such evidence from ERP (event-related potential) studies (see Figure 5-1). She proposed<br />
that the similar bra<strong>in</strong> response patterns can be observed <strong>in</strong> children <strong>and</strong> adults, which<br />
support the view that language develops <strong>in</strong> a cont<strong>in</strong>uous manner.<br />
In order to underst<strong>and</strong> language, it is an important task to segment the stream <strong>of</strong> speech<br />
<strong>in</strong>to mean<strong>in</strong>gful units. Even though conversational speech provides acoustic breaks<br />
these do not reliably signal word boundaries. The <strong>in</strong>fant’s task is to figure out the elementary<br />
phonemic categories <strong>of</strong> its language, before it can try to acquire words, composed<br />
<strong>of</strong> these phonemes. Some <strong>in</strong>nate skills seem to lead the acquisition <strong>of</strong> the phonemic<br />
categories. Thus, with<strong>in</strong> the first 2 months <strong>of</strong> life bra<strong>in</strong> <strong>in</strong>dices for the ability to<br />
9<br />
The many opportunities to entrench the most frequent elements <strong>of</strong> one’s own native language is illustrated<br />
by an example from Bates, Thal, F<strong>in</strong>lay <strong>and</strong> Clancy (2003): One may assume a child that hears approximately<br />
5 hours <strong>of</strong> speech <strong>in</strong>put per day, at a mean rate <strong>of</strong> 225 words per m<strong>in</strong>ute. Thus, an average 10year-old<br />
child heard 1,034,775,000 English phonemes (at an average <strong>of</strong> 25,869,375 trials per phoneme),<br />
up to 250 million words (<strong>in</strong>clud<strong>in</strong>g 17,246,250 renditions <strong>of</strong> the most common function word) <strong>and</strong> 28<br />
million sentences.