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<p>Dans le cadre du programme d'échange MIT-France entre le DEC-ENS et le <br>
Département de Linguistique du MIT, Asaf BACHRACH (MIT, Linguistics <br>
Department) donnera deux exposés à l'ENS les 23 et 26 mars prochains, <br>
aux horaires et salles indiqués ci-après:<br>
<br>
1) "Antecedent Contained Deletion as VP sharing"<br>
<br>
Vendredi 23 mars, 15h-17h<br>
Salle de séminaire du DEC - ENS, 29, rue d'Ulm - 75005 - RdC.<br>
<br>
2) "Parametric study of visual word processing combining MEG and fMRI"<br>
<br>
Lundi 26 mars, de 15h30 à 17h30<br>
Salle Beckett - ENS, 45, rue d'Ulm - 75005 Paris<br>
<br>
____________<wbr>_________<wbr>_________<wbr>_____<br>
Antecedent Contained Deletion as VP sharing<br>
------------<wbr>---------<wbr>---------<wbr>---------<wbr>--------<br>
<br>
Vendredi 23 mars, 15h-17h - DEC<br>
<br>
Asaf BACHRACH (MIT, Linguistics)<br>
(Joint work with Roni Katzir, MIT)<br>
<br>
Résumé: Antecedent Contained Deletion (ACD) is generally assumed to <br>
involve VP ellipsis (VPE). Under this view, either QR or extraposition <br>
of the relative clause applies in the matrix VP to produce an <br>
appropriate antecedent VP.<br>
<br>
i) John read every book Mary did<br>
ii) John [read x] [every book Mary did [read x]]<br>
<br>
In this talk we discuss a number of puzzles for the VPE account. We show <br>
that under this account ACD requires DP movement which violates known <br>
locality conditions on both QR and extraposition. We will present a new <br>
account of ACD, where VPE is replaced with VP sharing. The VP moves out <br>
of the relative clause and re-merges as the matrix VP. This account <br>
captures the correct locality conditions on ACD as well as a number of <br>
other features of this construction.<br>
<br>
____________<wbr>_________<wbr>_________<wbr>_________<wbr>_________<wbr>______<br>
Parametric study of visual word processing combining MEG and fMRI<br>
------------<wbr>---------<wbr>---------<wbr>---------<wbr>---------<wbr>---------<wbr>-<br>
<br>
Lundi 26 mars, 15h30-17h30 - ENS, Salle Beckett<br>
<br>
Asaf BACHRACH (MIT, Linguistics)<br>
(Joint work with John Gabrieli, Susan Gabrieli, Alec Marantz and Dafna <br>
Palti)<br>
<br>
Résumé: I will report preliminary findings of a multi-modal imaging <br>
study of visual word processing designed to test the possibility of <br>
analyzing single trials of imaging experiments via correlations with <br>
continuous stimulus variables (Hauk et al 2006). Visual word processing <br>
has been one of the central domains of research in the cognitive, and <br>
neurocognitive, study of language. While behavioral paradigms have <br>
provided much insight into to the role of a number of lexical dimensions <br>
in word processing, reaction time, being a delayed, dense, measure shed <br>
only little light on the fine temporal structure of lexical access. <br>
Hemodynamic imaging technics on their own allow for the localization of <br>
different aspects of visual word processing but lack the temporal <br>
resolution that is required for the interpretation of the localization <br>
results. Electrophysiologica<wbr>l methods provide high temporal resolution <br>
but lack in spatial resolution. Our multi-modal study benefits from the <br>
high spatial resolution of fMRI and the temporal resolution of MEG. <br>
Another problem in the study of lexical access (and of language more <br>
generally) has been the fact that many different lexical dimensions <br>
(e.g. frequency and length) covary to a very high degree. This <br>
property makes the widely used subtraction design problematic. <br>
Following the approach of Hauk et al, we opted for a fully parametric <br>
design. Subjects performance on a lexical decision task was monitored <br>
using Magnetoencephalogra<wbr>phy (MEG) and trial related Functional Magnetic <br>
Resonance Imaging (fMRI) (two separate sessions). In the parametric <br>
design, each item was coded for 'string properties' (length, average <br>
bigram count and size of orthographic neighborhood) and 'lemma <br>
properties' (token frequency and imageability)<wbr>. Parameters were drawn <br>
from The English Lexicon Project (Balota et al 2002) and MRC <br>
Psycholinguistic Database (Wilson 1988). Words were chosen to vary <br>
continuously along all stimulus dimensions and such that the stimulus <br>
variables themselves were maximally decorrelated. The fMRI data provided <br>
spatial localization of parameter-related activation while the MEG data <br>
was used for temporal localization, with individual trial data <br>
correlated with stimulus variables ms by ms. Furthermore, individual <br>
subject structural MRI and fMRI data were used to constrain the MEG <br>
forward model (MNE software, Martinos Center MGH). In this talk I will <br>
discuss in particular spatio-temporal activation patterns in and around <br>
the Word Form Area (Cohen et al 2000) in the context of the debate <br>
regarding the putative role of this area in visual word processing.<br>
<br>
</p>
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