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Connectionist Modeling of Experience-based Effects in Sentence ...

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2.5 Forgett<strong>in</strong>g <strong>Effects</strong><br />

related tasks. S<strong>in</strong>ce there is no such evidence for a language specific memory span, a<br />

pure DLT-<strong>based</strong> hypothesis cannot account for the non-existence <strong>of</strong> the forgett<strong>in</strong>g effect<br />

<strong>in</strong> German. There have to be additional factors that affect the robustness <strong>of</strong> the VP2<br />

prediction representation.<br />

The most promis<strong>in</strong>g explanation is that process<strong>in</strong>g is affected by certa<strong>in</strong> languagespecific<br />

grammatical properties. Vasishth et al. (2008) mention two possibilities how this<br />

could be come about. a) The robustness <strong>of</strong> the verb representation is directly specified by<br />

the same parameters that shape the grammar and hence the production-<strong>based</strong> corpus<br />

regularities. b) On the other hand, the more robust representation could be due to<br />

a more effective process<strong>in</strong>g caused by read<strong>in</strong>g skill, which is affected by the mentioned<br />

corpus regularities and not by the parameters directly. The first possibility is matched by<br />

an expectation-<strong>based</strong> account that directly depends on grammatical properties. Also a<br />

canonicity account would predict SOV structures to be easier <strong>in</strong> German than <strong>in</strong> English.<br />

The alternative <strong>of</strong> read<strong>in</strong>g skill is accounted for by an experience-<strong>based</strong> approach.<br />

Expectation<br />

A door to language-specific effects could be antilocality. Antilocality has been observed<br />

predom<strong>in</strong>antly <strong>in</strong> head-f<strong>in</strong>al languages like German (Konieczny, 2000) and H<strong>in</strong>di (Vasishth<br />

and Lewis, 2006b). The seem<strong>in</strong>g restrictedness <strong>of</strong> these effects to head-f<strong>in</strong>al languages<br />

has lead to the suggestion that the sentence-f<strong>in</strong>al verb <strong>in</strong> these languages is<br />

higher expected than <strong>in</strong> non-head-f<strong>in</strong>al languages. However, a recent study by Jaeger<br />

et al. (2008) shows antilocality effects <strong>in</strong> English, which is not head-f<strong>in</strong>al. The crossl<strong>in</strong>guistic<br />

explanation is that the expectation for a verb <strong>in</strong>creases with more <strong>in</strong>terven<strong>in</strong>g<br />

material. The longer the distance between the dependent and the expected head the<br />

less likely it becomes that even more adjunctive material will <strong>in</strong>tervene before the head.<br />

Additionally, <strong>in</strong> most cases the <strong>in</strong>terven<strong>in</strong>g material narrows the possible candidates for<br />

the head, which lowers surprisal even more. The fact that the associated speed-up at the<br />

verb shows slightly different patterns <strong>in</strong> English and German encourages an expectation<strong>based</strong><br />

account for a language-specific forgett<strong>in</strong>g effect. For example it is imag<strong>in</strong>able that<br />

<strong>in</strong> head-f<strong>in</strong>al languages the prediction is more precise regard<strong>in</strong>g the exact location <strong>of</strong> the<br />

verb, whereas <strong>in</strong> other languages head-f<strong>in</strong>ality is too rare to provide exact verb location<br />

statistics <strong>in</strong> that case.<br />

<strong>Experience</strong><br />

The robustness <strong>of</strong> representations could be shaped by experience. An experience-<strong>based</strong><br />

account assumes that the reader adapts process<strong>in</strong>g strategies to <strong>of</strong>ten occurr<strong>in</strong>g structures.<br />

In result, German readers should be more skilled on head-f<strong>in</strong>al structures than<br />

English readers. An explanation <strong>based</strong> on coarse-gra<strong>in</strong>ed corpus frequencies would be<br />

equivalent to a canonicity approach. German, be<strong>in</strong>g an SOV language exhibits more<br />

head-f<strong>in</strong>al structures than English, predict<strong>in</strong>g easier process<strong>in</strong>g. But earlier discussions<br />

45

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