Modelling subphonemic information flow : an investigation and extension of Dell's (1986) model of word production
Dell (1986) presented a spreading activation model which accounted for a number of early speech error results, including the relative proportions of anticipations, perseverations and exchanges found in speech error corpora, the lexical bias effect, the phonological similarity effect, and the effect of speech rate on error rate. This model has had an immense influence on the past 20 years of research into word production, with the original paper being cited over 1,000 times. Many studies have questioned how activation should flow between words and phonemes in this model. This thesis aimed to clarify what current speech error evidence tells us about how activation flows between phonemes and subphonemic representations, like features. Does activation cascade from phonemes to features, and does it feed back? The work presented here extends previous modelling investigations in two ways. Firstly, whereas previous modelling research has tended to evaluate model behaviour using arbitrarily chosen parameter settings, we illuminate the influence of the parameters on model behaviour and propose methods to draw general conclusions about model behaviour from large numbers of simulations at orthogonally varied parameter
Moat, Helen Susannah
speech production ; modelling ; phonological encoding ; articulation ; spreading activation ; speech errors
Modelling subphonemic information flow : an investigation and extension of Dell's (1986) model of word production. Dell (1986) presented a spreading activation model which accounted for a number of early speech error results, including the relative proportions of anticipations, perseverations and exchanges found in speech error corpora, the lexical bias effect, the phonological similarity effect, and the effect of speech rate on error rate. This model has had an immense influence on the past 20 years of research into word production, with the original paper being cited over 1,000 times. Many studies have questioned how activation should flow between words and phonemes in this model. This thesis aimed to clarify what current speech error evidence tells us about how activation flows between phonemes and subphonemic representations, like features. Does activation cascade from phonemes to features, and does it feed back? The work presented here extends previous modelling investigations in two ways. Firstly, whereas previous modelling research has tended to evaluate model behaviour using arbitrarily chosen parameter settings, we illuminate the influence of the parameters on model behaviour and propose methods to draw general conclusions about model behaviour from large numbers of simulations at orthogonally varied parameter
modelling information flow investigation extension model word production present spread activation model account number early speech_error include relative proportion anticipation exchange find speech_error corpus lexical bias effect phonological_similarity effect effect speech_rate error rate model immense influence past word production original paper cite time many study question activation flow word model aim_clarify current speech_error evidence tell activation flow phoneme representation like feature activation phoneme feature fee back work_present extends previous model investigation two_way firstly whereas_previous model tended evaluate model behaviour use choose parameter setting illuminate influence parameter model behaviour propose method draw general_conclusion model behaviour large_number simulation vary parameter