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. . . . . . . . . . . . . . The efgect of word frequency and position-in-utterance in Mandarin speech errors A connectionist model of speech production I-Ping WAN and Marc ALLASSONNIERE-TANG Graduate Institute of Linguistics, NCCU

. . . . . . . . . . . . . . The efgect of word frequency and position-in-utterance in Mandarin speech errors A connectionist model of speech production I-Ping WAN and Marc ALLASSONNIERE-TANG Graduate Institute of Linguistics, NCCU Lab Dynamics of Language, U-Lyon2 CLSW 2020 I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 1 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . . Research questions How speech processing happens (connectionist view) When I want to say ‘cat’ (Dell et al, 1999) I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 2 / 11 . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . Research questions . How to test this model? Speech errors do not occur arbitrarily e.g., I warn you » I want you Efgects from semantics and phonology Words that are used frequently are easily activated PRED 1: lower freq » higher probability of speech error Given-before-new principle PRED 2: sentence fjnal » higher probability of speech error I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 3 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . . Materials How to test those predictions? Database on speech errors I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 4 / 11 . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . . Materials How to test those predictions? Database on speech errors I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 4 / 11 . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . . Materials How to test those predictions? Database on speech errors I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 4 / 11 . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . Materials How to test those predictions? 382 speech errors extracted with sentence (3022 words) Annotated with word frequency and position-in-utterance Word frequency from the Academia Sinica corpus Position-in-utterance = normalized distance to sentence start I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 5 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . Materials How to test those predictions? 382 speech errors extracted with sentence (3022 words) Annotated with word frequency and position-in-utterance Word frequency from the Academia Sinica corpus Position-in-utterance = normalized distance to sentence start I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 5 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . Materials How to test those predictions? 382 speech errors extracted with sentence (3022 words) Annotated with word frequency and position-in-utterance Word frequency from the Academia Sinica corpus Position-in-utterance = normalized distance to sentence start I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 5 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . Materials How to test those predictions? 382 speech errors extracted with sentence (3022 words) Annotated with word frequency and position-in-utterance Word frequency from the Academia Sinica corpus Position-in-utterance = normalized distance to sentence start I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 5 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . . Materials Overview of data PCA visualization I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 6 / 11 . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . Analysis Generalized Linear Mixed Models Higher frequency » less likely to be a speech error Far from sentence start » more likely to be a speech error Supports the two predictions I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 7 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020
. . . . . . . . . . . . . . . Analysis Generalized Linear Mixed Models Higher frequency » less likely to be a speech error Far from sentence start » more likely to be a speech error Supports the two predictions I-P, Wan and M. A-Tang (NCCU,DDL) The efgect of word frequency and position-in-utterance in Mandarin speech errors 7 / 11 . . . . . . . . . . . . . . . . . . . . . . . . . CLSW 2020

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