The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Reinhold Kliegl - One of the best experts on this subject based on the ideXlab platform.
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Parallel Processing and sentence comprehension difficulty
Language and Cognitive Processes, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehe...
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Parallel Processing and sentence comprehension difficulty
The Mind Research Repository, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated, and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehension. DOI: 10.1080/01690965.2010.492228 Boston, M.F., Hale, J.T., Vasishth, S. and Kliegl, R. (2011). Parallelism and syntactic processes in reading difficulty. Language and Cognitive Processes, 26, 301-349
Marisa Ferrara Boston - One of the best experts on this subject based on the ideXlab platform.
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Parallel Processing and sentence comprehension difficulty
Language and Cognitive Processes, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehe...
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Parallel Processing and sentence comprehension difficulty
The Mind Research Repository, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated, and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehension. DOI: 10.1080/01690965.2010.492228 Boston, M.F., Hale, J.T., Vasishth, S. and Kliegl, R. (2011). Parallelism and syntactic processes in reading difficulty. Language and Cognitive Processes, 26, 301-349
Masatoshi Ishikawa - One of the best experts on this subject based on the ideXlab platform.
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target tracking algorithm for 1 ms visual feedback system using massively Parallel Processing
International Conference on Robotics and Automation, 1996Co-Authors: Idaku Ishii, Yoshihiro Nakabo, Masatoshi IshikawaAbstract:Most conventional visual feedback systems using CCD camera are restricted by video rates and therefore cannot be adapted to the changing environment sufficiently quickly. To solve this problem we developed a 1 ms visual feedback system using a general purpose massively Parallel Processing vision system in which photo-detectors and Processing elements are directly connected. For high speed visual feedback fast image Processing algorithms are also required. In particular, the difference of images between frames is very small in our system because of its high speed frame rate. Using this feature, we can realize several image Processing techniques by simpler algorithms. In this paper we propose a simple algorithm for target tracking using the feature of high speed vision, and realize target tracking on the 1 ms visual feedback system.
Shravan Vasishth - One of the best experts on this subject based on the ideXlab platform.
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Parallel Processing and sentence comprehension difficulty
Language and Cognitive Processes, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehe...
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Parallel Processing and sentence comprehension difficulty
The Mind Research Repository, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated, and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehension. DOI: 10.1080/01690965.2010.492228 Boston, M.F., Hale, J.T., Vasishth, S. and Kliegl, R. (2011). Parallelism and syntactic processes in reading difficulty. Language and Cognitive Processes, 26, 301-349
John Hale - One of the best experts on this subject based on the ideXlab platform.
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Parallel Processing and sentence comprehension difficulty
Language and Cognitive Processes, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehe...
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Parallel Processing and sentence comprehension difficulty
The Mind Research Repository, 2011Co-Authors: Marisa Ferrara Boston, John Hale, Shravan Vasishth, Reinhold KlieglAbstract:Eye fixation durations during normal reading correlate with Processing difficulty but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated, and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial Processing. As more candidate analyses are considered in Parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked Parallelism in theories of sentence comprehension. DOI: 10.1080/01690965.2010.492228 Boston, M.F., Hale, J.T., Vasishth, S. and Kliegl, R. (2011). Parallelism and syntactic processes in reading difficulty. Language and Cognitive Processes, 26, 301-349
