The sequential cuing effect in speech production

Sevald, Christine A.; Dell, Gary S.

doi:10.1016/0010-0277(94)90067-1

Cited by 187 publications

(294 citation statements)

References 32 publications

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“…If vocabulary evolution instead favors rime neighbors (e.g., hat-cat), rapid retrieval is facilitated. Sevald and Dell (1994) verified this empirically. They showed that word production was slower for word pairs like cat and cab (shared lead) than for word pairs like cat and bat (shared rime).…”

Section: Discussion Of the Ovc And Ph61 Metricsmentioning

confidence: 56%

Similarity relations among spoken words: The special status of rimes in English

Cara

Goswami

2002

Behavior Research Methods, Instruments, & Computers

103

101

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This paper presents an analysis of the distribution of phonological similarity relations among monosyllabic spoken words in English. It differs from classical analyses of phonological neighborhood density (e.g., Luce & Pisoni, 1998) by assuming that not all phonological neighbors are equal. Rather, it is assumed that the phonological lexicon has psycholinguistic structure. Accordingly, in addition to considering the number of phonological neighbors for any given word, it becomes important to consider the nature of these neighbors. If one type of neighbor is more dominant, neighborhood density effects may reflect levels of segmental representation other than the phoneme, particularly prior to literacy. Statistical analyses of the nature of phonological neighborhoods in terms of rime neighbors (e.g., hat /cat), consonant neighbors (e.g., hat /hit), and lead neighbors (e.g., hat /ham) were thus performed for all monosyllabic words in the Celex corpus (4,086 words). Our results show that most phonological neighbors are rime neighbors (e.g., hat /cat) in English. Similar patterns were found when a corpus of words for which age-of-acquisition ratings were available was analyzed. The resultant database can be used as a tool for controlling and selecting stimuli when the role of lexical neighborhoods in phonological development and speech processing is examined.

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Section: Discussion Of the Ovc And Ph61 Metricsmentioning

confidence: 56%

Similarity relations among spoken words: The special status of rimes in English

Cara

Goswami

2002

Behavior Research Methods, Instruments, & Computers

103

101

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“…The current PhND findings could only be considered consistent with the facilitative cognate effect if one assumes 13 In addition to the above, a mechanism of competition has sometimes been postulated at the phonological level (Dell, 1988). The requirement to select phonemes in a "left-to-right" sequential fashion from among the activated phonemes may trigger increased competition for words sharing onsets than those sharing endings (O'Seaghdha & Marin, 2000; see also Sevald & Dell, 1994;Sullivan & Riffel, 1999;Wheeldon, 2003).…”

Section: Relationship To Other Phonological Effects In Word Productiomentioning

confidence: 80%

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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“…First, one might assume that one of the consequences of holding on to the nonwords in this study is decay of information that leads to a break-down of the representations necessary for phonological encoding, hence perfect adherence to these constraints should not have been expected. Second, the vast majority of research into phonological encoding processes has confirmed the existence of these two constraints, both for naturally occurring speech errors (Shattuck-Hufnagel, 1979), and for production of tongue twister stimuli (Sevald & Dell, 1994;Wilshire, 1999), and many computational accounts incorporate these constraints as well (e.g. Dell, 1986;Hartley & Houghton, 1996).…”

Section: Discussionmentioning

confidence: 99%

Twisting tongues and memories: Explorations of the relationship between language production and verbal working memory

Acheson

MacDonald

2009

Journal of Memory and Language

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Many accounts of working memory posit specialized storage mechanisms for the maintenance of serial order. We explore an alternative, that maintenance is achieved through temporary activation in the language production architecture. Four experiments examined the extent to which the phonological similarity effect can be explained as a sublexical speech error. Phonologically similar nonword stimuli were ordered to create tongue twister or control materials used in four tasks: reading aloud, immediate spoken recall, immediate typed recall, and serial recognition. Dependent measures from working memory (recall accuracy) and language production (speech errors) fields were used. Even though lists were identical except for item order, robust effects of tongue twisters were observed. Speech error analyses showed that errors were better described as phoneme rather than item ordering errors. The distribution of speech errors was comparable across all experiments and exhibited syllable-position effects, suggesting an important role for production processes. Implications for working memory and language production are discussed.

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The sequential cuing effect in speech production

Cited by 187 publications

References 32 publications

Similarity relations among spoken words: The special status of rimes in English

Similarity relations among spoken words: The special status of rimes in English

Reconciling phonological neighborhood effects in speech production through single trial analysis

Twisting tongues and memories: Explorations of the relationship between language production and verbal working memory

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