260App<strong>en</strong>dice IIIgrapheme compared to letters having the status of single-letter graphemes. However, this effect was marginalfor subjects, F1(1,18) = 3.34, .05 < p .1.Finally, error scores were not affected by word frequ<strong>en</strong>cy, all Fs < 1.DISCUSSIONThe results of the pres<strong>en</strong>t studies can be summarized as follows. First, in two letter search experim<strong>en</strong>ts,we obtained longer response times wh<strong>en</strong> the target letter was embedded in a multi-letter grapheme (A inBEACH) compared to wh<strong>en</strong> it was itself a single-letter grapheme (A in GRASS). This effect appeared both inthe English and Fr<strong>en</strong>ch data. Second, letter detection lat<strong>en</strong>cies were not affected by the frequ<strong>en</strong>cy of the targetword neither in the English nor in the Fr<strong>en</strong>ch data.The pres<strong>en</strong>t results support the view that graphemes are automatically processed by the reading system asperceptual units. Therefore, accessing the letter A in BEACH appears more costly than accessing A inGRASS. Indeed, in BEACH, A is embedded in the multi-letter grapheme EA that seems to be processed as awhole by the reading system. That is, the id<strong>en</strong>tification of A is masked by the automatic processing of thehigher-order unit EA. Following this interpretation, the locus of the pres<strong>en</strong>t effect can be considered as prelexical.That is, it results from a competition betwe<strong>en</strong> a graphemic and a letter level of repres<strong>en</strong>tation. Afurther argum<strong>en</strong>t in favor of such interpretation comes from the abs<strong>en</strong>ce of any word-frequ<strong>en</strong>cy effect. Indeed,lexical factors appear to not influ<strong>en</strong>ce letter detection lat<strong>en</strong>cies.However, one may propose an alternative <strong>des</strong>cription of these results in terms of phonemic mismatch.Indeed, one may argue that the sound of letter A is closer to the sound of A in GRASS than to the sound of Ain BEACH. Thus, the differ<strong>en</strong>ce in letter detection lat<strong>en</strong>cies would be <strong>du</strong>e to phonemic distance (for a reviewon the role of phonetic factors in letter detection, see Healy, 1994). Therefore, the locus of the pres<strong>en</strong>t effectwould not be perceptual but rather, post-lexical. That is, subjects would compare the name of the target letterto the phonemic repres<strong>en</strong>tation of the word, and because of the phonemic distance of the letter’s name and theletter’s sound in the word, they would need more time to g<strong>en</strong>erate a pres<strong>en</strong>t-response for letters embedded in amulti-letter grapheme. However, this post-lexical phonemic interpretation is not congru<strong>en</strong>t with the abs<strong>en</strong>ceof a word frequ<strong>en</strong>cy effect. Indeed, if the phonemic repres<strong>en</strong>tation of a word is crucial for letter detection, th<strong>en</strong>there should be an advantage of high frequ<strong>en</strong>cy over low frequ<strong>en</strong>cy words in the multi-letter grapheme condition,since the phonemic repres<strong>en</strong>tation of high frequ<strong>en</strong>cy words should be accessed more rapidly. Consequ<strong>en</strong>tly,giv<strong>en</strong> the abs<strong>en</strong>ce of a word-frequ<strong>en</strong>cy effect on letter detection lat<strong>en</strong>cies, the pres<strong>en</strong>t data do not supportthe post-lexical phonemic interpretation.Another empirical evid<strong>en</strong>ce underlying the critical role of graphemes <strong>du</strong>ring reading comes from a studydone by Pring (1981). This author used the pseudohomophone effect for her demonstration (Rub<strong>en</strong>stein,Lewis, & Rub<strong>en</strong>stein, 1971). The pseudohomophone effect is the fact that, in a lexical decision task, wh<strong>en</strong>nonwords are constructed to be pronounced like words (e.g., CHERCH), participants are slower to reject theseitems (i.e., pseudohomophones) compared to spelling controls (e.g., CHIRCH). Pring showed that this effectdisappeared wh<strong>en</strong> the graphemes in the stimulus were disrupted through case alternation (i.e., the pseudohomophoneeffect disappeared for CheRcH where the graphemes are disrupted, whereas the effect remains forCHerCH, where case alternation does not split graphemes).Grouping letters into graphemesFollowing the assumption that graphemes are perceptual units leads to the conclusion that some letters areautomatically grouped into multi-letter graphemes <strong>du</strong>ring word processing. This grouping process is, in fact,highly functional to perform an effici<strong>en</strong>t orthography-to-phonology computation since it allows to retrievethe correct sequ<strong>en</strong>ce of phonemes (which would not be the case if the unit of the reading system was the letter).However, rec<strong>en</strong>t studies showed that the pres<strong>en</strong>ce of multi-letter graphemes in a word seem to slow downits processing. In a non-word reading experim<strong>en</strong>t, Rastle and Coltheart (1998) reported faster naming lat<strong>en</strong>ciesfor non-words composed of 5 graphemes and 5 letters compared to non-words composed of 3 graphemes and 5letters. Giv<strong>en</strong> that the number of letters was constant, 3 graphemes non-words were thus composed of multilettergraphemes which was correlated with longer naming lat<strong>en</strong>cies. In a similar manipulation, Rey, Jacobs,Schmidt-Weigand and Ziegler (1998) obtained longer id<strong>en</strong>tification times for words having a smaller numberof graphemes (the number of letters being constant). This effect was observed in English and Fr<strong>en</strong>ch for lowfrequ<strong>en</strong>cy5-letter monosyllabic words, but was not obtained in Fr<strong>en</strong>ch for high-frequ<strong>en</strong>cy 5-letter monosyllabicwords. Together, these results indicate that grouping letters into graphemes, <strong>des</strong>pite being automatic andfunctional, requires to avoid or inhibit a non-functional letter-by-letter processing.Reading unitsThe pres<strong>en</strong>t data support the view according to which graphemes can be considered as minimal functionalreading units. This reading unit assumption is congru<strong>en</strong>t with a model proposed by Laberge an Samuel (1974)in which word processing is mediated from letters to words through differ<strong>en</strong>t levels of spelling units. However,Laberge and Samuel did not specify the nature of these units. Also, the pres<strong>en</strong>t data suggest that graphemesmay be repres<strong>en</strong>ted in this framework at an early level of repres<strong>en</strong>tation. Furthermore, a large set ofempirical data recorded in differ<strong>en</strong>t langages (Englsih, Spanish or Fr<strong>en</strong>ch) indicates that larger functional spellingunits may also be repres<strong>en</strong>ted in the reading system such as onset, rimes or syllables (for onset/rime
App<strong>en</strong>dice III 261evid<strong>en</strong>ces in <strong>en</strong>glish, see Bowey, 1990, 1993 ; Treiman, 1989 ; Treiman & Chafetz, 1987 ; Treiman,Goswami, & Bruck, 1990 ; Treiman et al., 1995 ; Treiman & Zukowski, 1988 ; Wise, Olson, & Treiman,1990 ; for syllable evid<strong>en</strong>ces in English, Spanish and Fr<strong>en</strong>ch, see Carreiras, Alvarez, & de Vega, 1993 ; Ferrand,Segui, & Grainger, 1996 ; Ferrand, Segui, & Humphreys, 1996 ; Perea, & Carreiras, 1998 ;Prinzmetal, Treiman & Rho, 1986 ; Rapp, 1992). Together, these differ<strong>en</strong>t levels of functional spellingunits could emerge <strong>du</strong>ring reading acquisition, increasing the ability of skilled readers to process letter stringsin parallel.The concept of unit that we use here has to be understood as a <strong>des</strong>criptive concept. We use it as a theoreticaltool that allows simplified functional <strong>des</strong>criptions of the reading system complexity (Grainger & Jacobs,1998b). Also, by « reading unit », we mean stable and functional patterns of repres<strong>en</strong>tations that emerge<strong>du</strong>ring the maturation of reading. These patterns can be considered as « units » because they are recurr<strong>en</strong>tlyassociated with other informations. Thus, graphemes, onset, rimes or syllables can be considered as functionalspelling units in the s<strong>en</strong>se that these patterns of letter strings are repeatedly associated to specific phonemes orstrings of phonemes. These repeated associations lead to a unique coupling of two distinct co<strong>des</strong> and consequ<strong>en</strong>tly,to the developm<strong>en</strong>t of what we call « a functional unit » inside each code.REFERENCESBaay<strong>en</strong>, R. H., Piep<strong>en</strong>brock, R., & van Rijn, H. (1993). The CELEX Lexical Database (CD-ROM). Linguistic DataConsortium, University of P<strong>en</strong>nsylvania, Philadelphia, PA.Berndt, R. S., Lynne D’Autrechy, C., & Reggia, J. A. (1994). Functional pronunciation units in English words.Journal of Experim<strong>en</strong>tal Psychology : Learning, Memory and Cognition 20, 977-991.Berndt, R. S., Reggia, J. A., & Mitchum, C. C. (1987). Empirically derived probabilities for grapheme-to-phonemecorrespond<strong>en</strong>ces in English. Behavior Research Methods, Instrum<strong>en</strong>ts, & Computers 19, 1-9.Bowey, J. A. (1990). Orthographic onsets and rimes as functional units of reading. Memory and Cognition 18, 419-427.Bowey, J. A. (1993). Orthographic rime priming. The Quarterly Journal of Experim<strong>en</strong>tal Psychology 46A, 247-271.Carreiras, M., Alvarez, C., J., & de Vega, M. (1993). Syllable frequ<strong>en</strong>cy and visual word recognition in Spanish.Journal of Memory and Langage, 32, 766-780.Corcoran, D. W. J. (1966). An acoustic factor in letter cancelation. Nature, 210, 658.Coltheart, M. (1978). Lexical access in simple reading tasks. In : Underwood, G. (Ed.), Strategies of InformationProcessing. London : Academic Press.Coltheart, M., Curtis, B., Atkins, P., & Haller, H. (1993). Models of reading aloud : Dual-route and paralleldistributed-processingapproaches. Psychological Review 100, 589-608.Cont<strong>en</strong>t, A., Mousty, P., & Radeau, M. (1990). BRULEX : Une base de données lexicales informatisée pour le Françaisécrit et parlé. L’Année Psychologique 90, 551-566.Drewnowski, A., & Healy, A. F. (1977). Detection errors on the and and : Evid<strong>en</strong>ce for reading units larger than theword. Memory and Cognition, 5, 154-168.Ferrand, L., Segui, J., & Grainger, J. (1996). Masked priming of words and picture naming : The role of syllabicunits. Journal of Memory and Language 35, 708-723.Ferrand, L., Segui, J., & Humphreys, G. W. (1996). The syllable’s role in word naming. Memory and Cognition 25,458-470.Gibson, E. J., Pick, A. D., Osser, H., & Hammond, M. (1962). The role of grapheme-phoneme correspond<strong>en</strong>ce inthe perception of words. American Journal of Psychology 75, 554-570.Grainger, J., & Jacobs, A., M. (1998a). Localist connectionist approaches to human cognition Hillsdale, NJ : Lawr<strong>en</strong>ceErlbaum Associates.Grainger, J., & Jacobs, A., M. (1998b). On localist connectionism and psychological sci<strong>en</strong>ce. In J. Grainger & A.M. Jacobs (Eds.), Localist connectionist approaches to human cognition (pp. 1-38). Hillsdale, NJ : Lawr<strong>en</strong>ceErlbaum Associates.Healy, A.F. (1994). Letter detection : A window to unitization and other cognitive processes. Psychonomic Bulletin& Review, 1, 333-344.H<strong>en</strong>derson, L. (1985). On the use of the term ‘grapheme’. Language and Cognitive Processes 2, 135-148.Jakobson, R., Fant, M. & Halle, M. (1952). Le concept de trait distinctif. Preliminaries to speech analysis. Cambridge(Mass.) : The M.I.T. Press.Laberge, D., & Samuel, S. J. (1974). Toward a theory of automatic information processing in reading. CognitivePsychology 6, 293-323.Peereman, R., & Cont<strong>en</strong>t, A. (1997). Orthographic and phonological neighborhood in naming : Not all neighborsare equally influ<strong>en</strong>tial in orthographic space. Journal of Memory and Language 37, 382-410.Perea, M., & Carreiras, M. (1998). Effects of syllable frequ<strong>en</strong>cy and syllable neighborhood frequ<strong>en</strong>cy in visual wordrecognition. Journal of Experim<strong>en</strong>tal Psychology : Human Perception and Performance, 24, 134-144.Pring, L. (1981). Phonological co<strong>des</strong> and functional spelling units : Reality and implications. Perception and Psychophysics,30, 573-578.Prinzmetal, W., Treiman, R., & Rho, S. (1986). How to see a reading unit. Journal of Memory and Language 25,461-475.Rapp, B. C. (1992). The nature of sublexical orthographic organization : The bigram trough hypothesis examined.Journal of Memory and Language 31, 33-53.Rastle, K., & Coltheart, M., in press. Whammy and double whammy : L<strong>en</strong>gth effects in nonword naming. PsychonomicBulletin and Review.
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CHAPITRE 7 : LE FUM . . . . . . . .
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8IntroductionPour cela, notre domai
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10Introduction• au niveau lexical
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12Introduction• sa forme visuelle
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14IntroductionAprès avoir posé le
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16Méthodologiespulations sur les i
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18Méthodologies2.1. Protocoles exp
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20Méthodologiessi le stimulus se t
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26Méthodologies1996 ; Peter & Turv
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28Méthodologiesles performances da
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32MéthodologiesMatériel expérime
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Chapitre 3Orthographe et phonologie
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42Orthographe et Phonologie3.1. Var
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44Orthographe et PhonologieLa Figur
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46Orthographe et PhonologieJacobs,
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50Orthographe et PhonologieDans l
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72Modèles de la perception visuell
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74Modèles de la perception visuell
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80Modèles de la perception visuell
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84Modèles de la perception visuell
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88Modèles de la perception visuell
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94Modèles de la perception visuell
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96Modèles de la perception visuell
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98MROM-pspécifier leur lien avec l
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100MROM-pphonèmes reliés par un r
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102MROM-pLorsque le modèle génèr
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104MROM-pque ce système artificiel
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106Unités de la lecturelinguistiqu
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110Unités de la lecturemes. Aussi
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112Unités de la lecturephonologiqu
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124FUMmultiples existant au sein de
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126FUMpar Berndt, Lynne D'Autrechy
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128FUMcessus de compétition et du
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130FUMgène et suit les principes c
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132FUMPseudohomophonesContrôles Or
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134FUM61023TR (ms) Seidenberg et al
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136FUMportementaux et les résultat
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166Les mots polysyllabiquesmots mon
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168Les mots polysyllabiquesTableau
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170Les mots polysyllabiques9.2. Exp
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172Les mots polysyllabiques19001890
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174Les mots polysyllabiquesnexe XI
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176Les mots polysyllabiques9.4. Dis
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178ConclusionConclusion« La grande
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180Conclusionplutôt un système o
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182Conclusiontester les prédiction
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184BibliographieAderman, D., & Smit
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186BibliographieBrysbaert, M., Vitu
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188BibliographieFerrand, L., Segui,
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190BibliographieGrainger, J., & Jac
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192BibliographieKay, J., & Bishop,
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194BibliographieMewhort, D. J. K.,
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196BibliographiePerea, M., & Pollat
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198BibliographieSeidenberg, M. S.,
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200BibliographieTreiman, R., & Zuko
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202AnnexesAnnexes
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204AnnexesAnnexe II : Temps de rép
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206AnnexesAnnexe IV : Temps de rép
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208Annexesd t 88 3 fixed fI%tdd d 3
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- Page 224 and 225: 224Appendice IMROM-P : An interacti
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