Segment realization in relation to a carrier word’s uniqueness point

2000 ◽  
Vol 108 (5) ◽  
pp. 2479-2480 ◽  
Author(s):  
Roger Billerey‐Mosier
Keyword(s):  
Uniqueness Point

The effect of the uniqueness point in processing printed words

1991 ◽  
Author(s):  
Monique Radeau ◽  
Jose Morais ◽  
Philippe Mousty ◽  
Marco Saerens ◽  
Paul Bertelson
Keyword(s):  
Uniqueness Point

scholarly journals Perceptual uniqueness point effects in monitoring internal speech

Cognition ◽  
2007 ◽  
Vol 105 (2) ◽  
pp. 457-465 ◽  
Author(s):  
Rebecca Özdemir ◽  
Ardi Roelofs ◽  
Willem J.M. Levelt
Keyword(s):  
Uniqueness Point ◽  
Internal Speech

Uniqueness Point Effects during Speech Planning in Adults Who Do and Do Not Stutter

2017 ◽  
Vol 69 (5-6) ◽  
pp. 191-208 ◽  
Author(s):  
Geoffrey A. Coalson ◽  
Courtney T. Byrd ◽  
Amanda Kuylen
Keyword(s):  
Uniqueness Point ◽  
Speech Planning

The orthographic uniqueness point and eye movements during reading

2006 ◽  
Vol 97 (2) ◽  
pp. 191-216 ◽  
Author(s):  
Brett Miller ◽  
Barbara J. Juhasz ◽  
Keith Rayner
Keyword(s):  
Eye Movements ◽  
Uniqueness Point ◽  
Eye Movements During Reading

Naming reaction times to Braille words: Effects of lexicality, frequency, and uniqueness point

1991 ◽  
Author(s):  
Paul Bertelson ◽  
Philippe Mousty ◽  
Ronald Peereman ◽  
Monique Radeau
Keyword(s):  
Reaction Times ◽  
Uniqueness Point

scholarly journals Rapid cortical plasticity induced by active associative learning of novel words in human adults

2019 ◽  
Author(s):  
Alexandra M. Razorenova ◽  
Boris V. Chernyshev ◽  
Anastasia Yu. Nikolaeva ◽  
Anna V. Butorina ◽  
Andrey O. Prokofyev ◽  
...  
Keyword(s):  
Cortical Plasticity ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Cortical Activity ◽  
Response Amplitude ◽  
Spatiotemporal Pattern ◽  
Time Interval ◽  
Repetition Suppression ◽  
Uniqueness Point ◽  
Hands And Feet

AbstractHuman speech requires that new words are routinely memorized, yet neurocognitive mechanisms of such acquisition of memory remain highly debatable. Major controversy concerns the question whether cortical plasticity related to word learning occurs in neocortical speech-related areas immediately after learning, or neocortical plasticity emerges only on the second day after a prolonged time required for consolidation after learning. The functional spatiotemporal pattern of cortical activity related to such learning also remains largely unknown. In order to address these questions, we examined magnetoencephalographic responses elicited in the cerebral cortex by passive presentations of eight novel pseudowords before and immediately after an operant conditioning task. This associative procedure forced participants to perform an active search for unique meaning of four pseudowords that referred to movements of left and right hands and feet. The other four pseudowords did not require any movement and thus were not associated with any meaning. Familiarization with novel pseudowords led to a bilateral repetition suppression of cortical responses to them; the effect started before or around the uniqueness point and lasted for more than 500 ms. After learning, response amplitude to pseudowords that acquired meaning was greater compared with response amplitude to pseudowords that were not assigned meaning; the effect was significant within 144–362 ms after the uniqueness point, and it was found only in the left hemisphere. Within this time interval, a learning-related selective response initially emerged in cortical areas surrounding the Sylvian fissure: anterior superior temporal sulcus, ventral premotor cortex, the anterior part of intraparietal sulcus and insula. Later within this interval, activation additionally spread to more anterior higher-tier brain regions, and reached the left temporal pole and the triangular part of the left inferior frontal gyrus extending to its orbital part. Altogether, current findings evidence rapid plastic changes in cortical representations of meaningful auditory word-forms occurring almost immediately after learning. Additionally, our results suggest that familiarization resulting from stimulus repetition and semantic acquisition resulting from an active learning procedure have separable effects on cortical activity.

scholarly journals LexFindR: A fast, simple, and extensible R package for finding similar words in a lexicon

2021 ◽  
Author(s):  
James Magnuson ◽  
ZHAOBIN LI ◽  
Anne Marie Crinnion
Keyword(s):  
Word Recognition ◽  
Word Frequency ◽  
Word Length ◽  
Spoken Word Recognition ◽  
R Package ◽  
Spoken Word ◽  
Online Tools ◽  
Source Data ◽  
Uniqueness Point ◽  
Theoretical Predictions

Language scientists often need to generate lists of related words, such as potential competitors. They may do this for purposes of experimental control (e.g., selecting items matched on lexical neighborhood but varying in word frequency), or to test theoretical predictions (e.g., hypothesizing that a novel type of competitor may impact word recognition). Several online tools are available, but most are constrained to a fixed lexicon and fixed sets of competitor definitions, and may not give the user full access to or control of source data. We present LexFindR, an open source R package that can be easily modified to include additional, novel competitor types. LexFindR is easy to use. Because it can leverage multiple CPU cores and uses vectorized code when possible, it is also extremely fast. In this article, we present an overview of LexFindR usage, illustrated with examples. We also explain the details of how we implemented several standard lexical competitor types used in spoken word recognition research (e.g., cohorts, neighbors, embeddings, rhymes), and show how “lexical dimensions” (e.g., word frequency, word length, uniqueness point) can be integrated into LexFindR workflows (for example, to calculate “frequency weighted competitor probabilities”), for both spoken and visual word recognition research.

Dynamics of the auditory comprehension of prefixed words

2006 ◽  
Vol 1 (1) ◽  
pp. 125-146 ◽  
Author(s):  
Lee H. Wurm ◽  
Mirjam Ernestus ◽  
Robert Schreuder ◽  
R. H. Baayen
Keyword(s):  
Lexical Decision ◽  
Target Word ◽  
Family Size ◽  
Auditory Comprehension ◽  
Auditory Lexical Decision ◽  
Entropy Measures ◽  
Uniqueness Point ◽  
Prefixed Words ◽  
Morphological Family

This auditory lexical decision study shows that cohort entropies, conditional root uniqueness points, and morphological family size all contribute to the dynamics of the auditory comprehension of prefixed words. Three entropy measures calculated for different positions in the stem of Dutch prefixed words revealed facilitation for higher entropies, except at the point of disambiguation, where we observed inhibition. Morphological family size was also facilitatory, but only for prefixed words in which the conditional root uniqueness point coincided with the conventional uniqueness point. For words with early conditional disambiguation, in contrast, only the morphologically related words that were onset-aligned with the target word facilitated lexical decision.

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