Turn structure and inserts

2020 ◽  
Vol 25 (2) ◽  
pp. 185-214
Author(s):  
Christoph Rühlemann

Abstract Turns-at-talk often do not start with their main business but rather with a pre-start (Sacks et al., 1974). This paper investigates the correlation of pre-starts with inserts, one of three major word classes (Biber et al., 1999). Based on the BNC’s mark-up, I investigate how inserts are positionally distributed in large amounts of turns of varied lengths. The analysis shows that inserts are overwhelmingly attracted to turn-first positions, the likely location of pre-starts. Further, in a subsample of 1,000 ten-word turns manually coded for pre-starts, 86% of all inserts serve a pre-start function. The findings call into question current speech processing models that fail to factor in turn structure. Further, pre-starts have crucial sequential and interactional implications as early indicators whether the new turn “agrees” with the prior turn and are likely key signals aiding listeners’ action ascription.

2001 ◽  
Vol 10 (2) ◽  
pp. 180-188 ◽  
Author(s):  
Steven H. Long ◽  
Ron W. Channell

Most software for language analysis has relied on an interaction between the metalinguistic skills of a human coder and the calculating ability of the machine to produce reliable results. However, probabilistic parsing algorithms are now capable of highly accurate and completely automatic identification of grammatical word classes. The program Computerized Profiling combines a probabilistic parser with modules customized to produce four clinical grammatical analyses: MLU, LARSP, IPSyn, and DSS. The accuracy of these analyses was assessed on 69 language samples from typically developing, speech-impaired, and language-impaired children, 2 years 6 months to 7 years 10 months. Values obtained with human coding and by the software alone were compared. Results for all four analyses produced automatically were comparable to published data on the manual interrater reliability of these procedures. Clinical decisions based on cutoff scores and productivity data were little affected by the use of automatic rather than human-generated analyses. These findings bode well for future clinical and research use of automatic language analysis software.


Nephrology ◽  
2000 ◽  
Vol 5 (3) ◽  
pp. A93-A93
Author(s):  
Sj Chadban ◽  
P Kerr ◽  
E Briganti ◽  
D Dunstan ◽  
M De Courten ◽  
...  

2009 ◽  
Vol 14 (1) ◽  
pp. 78-89 ◽  
Author(s):  
Kenneth Hugdahl ◽  
René Westerhausen

The present paper is based on a talk on hemispheric asymmetry given by Kenneth Hugdahl at the Xth European Congress of Psychology, Praha July 2007. Here, we propose that hemispheric asymmetry evolved because of a left hemisphere speech processing specialization. The evolution of speech and the need for air-based communication necessitated division of labor between the hemispheres in order to avoid having duplicate copies in both hemispheres that would increase processing redundancy. It is argued that the neuronal basis of this labor division is the structural asymmetry observed in the peri-Sylvian region in the posterior part of the temporal lobe, with a left larger than right planum temporale area. This is the only example where a structural, or anatomical, asymmetry matches a corresponding functional asymmetry. The increase in gray matter volume in the left planum temporale area corresponds to a functional asymmetry of speech processing, as indexed from both behavioral, dichotic listening, and functional neuroimaging studies. The functional anatomy of the corpus callosum also supports such a view, with regional specificity of information transfer between the hemispheres.


2012 ◽  
Author(s):  
Christine M. Szostak ◽  
Mark A. Pitt ◽  
Laura C. Dilley

2012 ◽  
Author(s):  
Jeannie Annan ◽  
Tom Bundervoet ◽  
Gabrielle Cole ◽  
Paul Bolton ◽  
Judith Bass

2018 ◽  
Vol 110 (4) ◽  
pp. 483-501 ◽  
Author(s):  
Hyun-Joo Jeon ◽  
Shavaun M. Wall ◽  
Carla A. Peterson ◽  
Gayle J. Luze ◽  
Mark E. Swanson

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