Lexically specific accumulation in memory of word and segment speech rates

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Esther L. Brown ◽  
William D. Raymond ◽  
Earl Kjar Brown ◽  
Richard J. File-Muriel

Abstract Variability abounds in speech. According to usage-based accounts, lexical representations reflect phonetic variants of words resulting from contextual conditioning. Because faster speech contexts promote durational shortening of words and segments, words that occur more often in fast speech may be more reduced than words commonly used in slow speech, independent of the target’s contextual speech rate. To test this, linear mixed-effects models including a word form’s ratio of conditioning by fast speech contexts (FRCRATE) are used to predict the duration of Spanish /s/ and words containing /s/ in a corpus of spoken Spanish. Results show that words’ cumulative exposure to relatively fast speech affects phonetic realizations independent of factors operative in the production contexts. Thus, word and segment rates reflect cumulative (lexicalized) effects of words’ experience in fast speech contexts. The results suggest that lexically specific cumulative measures should be incorporated into models of linguistic variation and change.

2021 ◽  
pp. 001316442199489
Author(s):  
Luyao Peng ◽  
Sandip Sinharay

Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of Wollack and Eckerly (2017) and Sinharay (2018) and suggests a new aggregate-level EDI by incorporating the empirical best linear unbiased predictor from the literature of linear mixed-effects models (e.g., McCulloch et al., 2008). A simulation study shows that the new EDI has larger power than the indices of Wollack and Eckerly (2017) and Sinharay (2018). In addition, the new index has satisfactory Type I error rates. A real data example is also included.


2021 ◽  
pp. 1-4
Author(s):  
Michaela Kranepuhl ◽  
Detlef May ◽  
Edna Hillmann ◽  
Lorenz Gygax

Abstract This research communication describes the relationship between the occurrence of lameness and body condition score (BCS) in a sample of 288 cows from a single farm that were repeatedly scored in the course of 9 months while controlling for confounding variables. The relationship between BCS and lameness was evaluated using generalised linear mixed-effects models. It was found that the proportion of lame cows was higher with decreasing but also with increasing BCS, increased with lactation number and decreased with time since the last claw trimming. This is likely to reflect the importance of sufficient body condition in the prevention of lameness but also raises the question of the impact of overcondition on lameness and the influence of claw trimming events on the assessment of lameness. A stronger focus on BCS might allow improved management of lameness that is still one of the major problems in housed cows.


2007 ◽  
Vol 27 (14) ◽  
pp. 2586-2600 ◽  
Author(s):  
Fetene B. Tekle ◽  
Frans E. S. Tan ◽  
Martijn P. F. Berger

Biostatistics ◽  
2012 ◽  
Vol 14 (1) ◽  
pp. 144-159 ◽  
Author(s):  
R. Drikvandi ◽  
G. Verbeke ◽  
A. Khodadadi ◽  
V. Partovi Nia

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