The Integration Advantage due to Clefting and Topicalization

old_uid6444
titleThe Integration Advantage due to Clefting and Topicalization
start_date2009/03/10
schedule14h-16h
onlineno
location_infoLaboratoire de sciences cognitives et psycholinguistique
summary(joint work with Rukshin Shaher, Felix Engelmann, Pavel Logacev, Narayanan Srinivasan) What is the functional motivation for the existence of elaborate syntactic markers such as clefts, left-dislocated topicalizations, and given-new ordering? Although it is clear that they are syntactic markers that facilitate effective information-packaging that communicates a message to the hearer/reader, it is less clear how this kind of restructuring impacts processing in real-time sentence comprehension. Two eyetracking studies involving Hindi address this question. We show that such information structure markers drive the re-allocation of attention for facilitating comprehension; this re-allocation has the consequence that the message is processed faster and more efficiently. Previous work on information structure marking has shown that readers detect focused information more quickly and accurately, and remember it better than non-focused information. For example, in a probe recognition and naming task, Birch and Garnsey (1995) showed that clefted nouns ('It was a…') can be named faster than non-clefted ones. In an eyetracking experiment, Foraker & McElree (2007) showed that clefting a noun improves its availability in online sentence comprehension. Birch and Rayner (1997) provided evidence that processing a clefted noun is computationally costly. They claim that the costly processing operations on the clefted noun reflect a more robust encoding in memory which explains the facilitation during retrieval found by Birch and Garnsey. Our eyetracking experiments extend on this previous work by showing: (i) there is an initial processing cost (encoding cost) associated with encoding a focused element; (ii) but this results in richer encoding, which facilitates later processing (integration advantage); (iii) the integration advantage interacts with the widely accepted given-before-new ordering preference. An eyetracking study (n=32) involving Hindi clefted sentences was carried out; the factors clefting and given-new order were manipulated. Subjects saw two sentences, a context sentence followed by a target sentence, which collectively described the relative position of three objects. They were then presented with a picture and had to indicate whether the layout in the picture matched the description. Context sentence: banduuk duurbiin kii baayii taraf hai. “The gun is to the left of the binoculars.” Target sentence: (cleft marker in italics, given material in bold) ek  tijorii  bhii  hai,  aur/lekin  [NP1 jhanDaa]  (hai jo) One  safe  also  is,  and/but  [NP1 flag]   (is that) [NP2 duurbiin]  [INT kii  daayii   taraf]   hai. [NP2 binoculars]  [INT gen  right   side]   is “There is a safe, and/but (it is) the flag (that ) is to the right of the binoculars.” We found higher first pass regression probabilities for clefted nouns as opposed to non-clefted nouns. This can be interpreted as the encoding cost for clefted nouns. We also found shorter re-reading times at the clefted noun and fewer regressions to it from the integration site. We interpret this as evidence for the integration advantage. In addition, although whole sentence total reading time showed a given-new advantage (confirming the accepted opinion that given-new order is easier to process), the clefted word itself was read faster when it was new rather than given. We replicated the above findings through a second eyetracking experiment (n=32) involving Hindi left-dislocated topics that superficially resemble clefts but have a different information-structuring function. In sum, we present new evidence from online sentence comprehension that syntactic information-structure markers such as clefts and left-dislocated topics serve to facilitate retrieval of the clefted/topicalized element and that the initial cost of encoding can be minimized by providing context information.
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