A new on-line resource for psycholinguistic studies

Székely, Anna; Jacobsen, Thomas; D’Amico, Simonetta; Devescovi, Antonella; Andonova, Elena; Herron, Daniel; Lu, Ching Ching; Pechmann, Thomas; Pléh, Csaba; Wicha, Nicole Y.Y.; Federmeier, Kara D.; Gerdjikova, Irina; Gutiérrez, Gabriel; Hung, Daisy L.; Hsu, Jeanne; Iyer, Gowri K.; Kohnert, Kathryn; Mehotcheva, Teodora H.; Orozco-Figueroa, Araceli; Tzeng, Angela Ku-Yuan; Tzeng, Ovid J.L.; Arévalo, Analía; Vargha, Andras; Butler, Andrew C.; Buffington, Robert; Bates, Elizabeth

doi:10.1016/j.jml.2004.03.002

Cited by 392 publications

(332 citation statements)

References 5 publications

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“…533 black-and-white line drawings of common objects were selected from various picture databases (Bonin et al, 2003;Pérez & Navalón, 2003;Snodgrass & Vanderwart, 1980;Székely et al, 2004). Spanish picture names met the following criteria: (a) they consisted of a single word; (b) they were present in the Spanish database BuscaPalabras (Davis & Perea, 2005); (c) they had no other meanings with higher frequency usage to be confused with (e.g.…”

Section: Stimulimentioning

confidence: 99%

Reconciling phonological neighborhood effects in speech production through single trial analysis

Sadat

Martin

Costa

et al. 2014

Cognitive Psychology

117

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A crucial step for understanding how lexical knowledge is represented is to describe the relative similarity of lexical items, and how it influences language processing. Previous studies of the effects of form similarity on word production have reported conflicting results, notably within and across languages. The aim of the present study was to clarify this empirical issue to provide specific constraints for theoretical models of language production. We investigated the role of phonological neighborhood density in a large-scale picture naming experiment using finegrained statistical models. The results showed that increasing phonological neighborhood density has a detrimental effect on naming latencies, and re-analyses of independently obtained data sets provide supplementary evidence for this effect. Finally, we reviewed a large body of evidence concerning phonological neighborhood density effects in word production, and discussed the occurrence of facilitatory and inhibitory effects in accuracy measures. The overall pattern shows that phonological neighborhood generates two opposite forces, one facilitatory and one inhibitory. In cases where speech production is disrupted (e.g. certain aphasic symptoms), the facilitatory component may emerge, but inhibitory processes dominate in efficient naming by healthy speakers. These findings are difficult to accommodate in terms of monitoring processes, but can be explained within interactive activation accounts combining phonological facilitation and lexical competition. 2Reconciling phonological neighborhood effects in speech production through single trial analysis Native speakers of a language know a myriad of different words. This so-called mental lexicon is often described as an interconnected network in which representation distance may depend on meaning or form similarities among the words. One crucial step for understanding this network is to describe which kind of similarity influences language processing and how it modulates performance. In this context, the current research is concerned with the role of phonological similarity in word retrieval and speech production. This issue has been addressed in earlier theoretical work (e.g. Chen & Mirman, 2012;Dell & Gordon, 2003), but the empirical evidence on which this work is grounded remains controversial. Our goal in this article is to clarify the empirical facts regarding form similarity effects in speech production, and to integrate them within a single account. Clearing the empirical constraints will allow further refinement of theoretical models to advance our understanding of the cognitive processes underlying speech production.An approximation of how similar or interconnected a word is within the lexical network can be obtained by computing its phonological neighborhood density (PhND). PhND refers to the number of words that can be formed from a given word by substituting, adding or deleting one phoneme (Luce, 1986). For example, the word "bat" sounds similar to many other words (e.g., "cat", "fat",...

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Section: Stimulimentioning

confidence: 99%

Reconciling phonological neighborhood effects in speech production through single trial analysis

Sadat

Martin

Costa

et al. 2014

Cognitive Psychology

117

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“…Many studies also find that frequency of exposure to the names of objects has a reliable effect on picture naming (Alario et al, 2004;Barry et al, 1997;Bates et al, 2003;Cuetos et al, 1999;Ellis & Morrison, 1998;Snodgrass & Yuditsky, 1996;Székely et al, 2004; though see Bonin et al, 2002;Dell'Acqua et al, 2000;Pind & Tryggvadottir, 2002). Word frequency is typically estimated using printed frequency counts based on text corpora, although subjective ratings of word familiarity can be used to estimate spoken word frequency (Gernsbacher, 1984).…”

mentioning

confidence: 99%

Predictors of timed picture naming in Chinese

Weekes

Shu

Hao

et al. 2007

Behavior Research Methods

103

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Many studies have analyzed the properties of objects that influence picture naming speed. These studies are important for developing cognitive models of object recognition and naming and for the study of lexical processing in the brain (Bates et al., 2003;Székely et al., 2003). Up until the late 1990s, research on the key factors affecting picture naming speed was limited to that done in English. However, there has been a steady increase in studies investigating timed picture naming in other languages including Dutch (Jescheniak & Levelt, 1994;Severens, Van Lommel, Ratinckx, & Hartsuiker, 2005), French (Alario et al., 2004;Bonin, Chalard, Méot, & Fayol, 2002;Bonin, Peereman, Malardier, Méot, & Chalard, 2003;Chalard, Bonin, Méot, Boyer, & Fayol, 2003;Kremin, Hamerel, Dordain, De Wilde, & Perrier, 2000;Schwitter, Boyer, Méot, Bonin, & Laganaro, 2004), Icelandic (Pind & Tryggvadottir, 2002), Italian (Dell'Acqua, Lotto, & Job, 2000), Japanese (Nishimoto, Miyawaki, Ueda, Une, & Takahashi, 2005), and Spanish (Cuetos, Ellis, & Alvarez, 1999;Sanfeliu & Fernandez, 1996). All of these studies investigate naming of objects using line drawings first published by Snodgrass and Vanderwart (1980) and locally collected normative data. According to a review by Alario et al., the key variables that predict picture naming latency across languages are name agreement and rated age of acquisition (AoA). Bates and colleagues compared languages in a study of picture naming in Bulgarian, English, German, Hungarian, Italian, Spanish, and Mandarin (Putonghua). Their data confirmed the importance of name agreement but also revealed a robust effect of printed-word frequency across languages. Bates et al. did not, however, consider the full range of variables for each of the languages examined; for example, they did not consider the effect of rated AoA on picture naming in Chinese. The primary aim of the present study was to investigate the impact of key variables-including AoA-on picture naming in Mainland Chinese speakers.Name agreement has a significant impact on timed picture naming that is independent of the effects of correlated variables such as word frequency, familiarity, and AoA in all languages. Name agreement can be measured in several ways, but the most common way is to determine the proportion of speakers who assign the target name to a pictured object. Another method is to measure the number of names given to a picture across participants. On both measures, pictures of objects that elicit different namesfor example, gun/pistol/revolver-have lower name agreement than do those that elicit a single name. If an object has more than one alternative name and participants do not all give the same name to a given picture, retrieval of any one of those names will be slowed. Pictures with a single dominant response are named more quickly and more accurately than pictures with alternative responses. This robust effect is possibly due to competition for tar- 335Copyright 2007 Psychonomic Society, Inc. We report normative data collected f...

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“…Materials Images were chosen from the International Picture Naming Project (IPNP: Szekely et al, 2004), which provides information about the naming of 520 black-andwhite line drawings of common objects, some of which are freely downloadable. Where images could not be obtained directly from the IPNP, suitable images were selected from a commercial clip art package.…”

Section: Methodsmentioning

confidence: 99%

Disfluency in dialogue: an intentional signal from the speaker?

Finlayson

Corley

2012

Psychon Bull Rev

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Disfluency is a characteristic feature of spontaneous human speech, commonly seen as a consequence of problems with production. However, the question remains open as to why speakers are disfluent: Is it a mechanical byproduct of planning difficulty, or do speakers use disfluency in dialogue to manage listeners' expectations? To address this question, we present two experiments investigating the production of disfluency in monologue and dialogue situations. Dialogue affected the linguistic choices made by participants, who aligned on referring expressions by choosing less frequent names for ambiguous images where those names had previously been mentioned. However, participants were no more disfluent in dialogue than in monologue situations, and the distribution of types of disfluency used remained constant. Our evidence rules out at least a straightforward interpretation of the view that disfluencies are an intentional signal in dialogue.

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A new on-line resource for psycholinguistic studies

Cited by 392 publications

References 5 publications

Reconciling phonological neighborhood effects in speech production through single trial analysis

Reconciling phonological neighborhood effects in speech production through single trial analysis

Predictors of timed picture naming in Chinese

Disfluency in dialogue: an intentional signal from the speaker?

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