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Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings
Pseudo-words are stimuli, which are useful in research concerning lexical processing. As in the case of existing words, they are language dependent; thus, they should be generated for each language separately. The Polish Pseudo-words List (PPwL) is a dataset presenting a set of 3023 stimuli (words o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569746/ https://www.ncbi.nlm.nih.gov/pubmed/26441770 http://dx.doi.org/10.3389/fpsyg.2015.01395 |
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author | Imbir, Kamil K. Spustek, Tomasz Żygierewicz, Jarosław |
author_facet | Imbir, Kamil K. Spustek, Tomasz Żygierewicz, Jarosław |
author_sort | Imbir, Kamil K. |
collection | PubMed |
description | Pseudo-words are stimuli, which are useful in research concerning lexical processing. As in the case of existing words, they are language dependent; thus, they should be generated for each language separately. The Polish Pseudo-words List (PPwL) is a dataset presenting a set of 3023 stimuli (words of 4–13 letters long). They were generated using an algorithm substituting random letters in existing words with respect to the frequency of letters in certain positions. We put out the raw set for a competent judges’ assessment and included the responses in the dataset. PPwL allows the choice of suitable control stimuli for experiments concerning lexical processing. |
format | Online Article Text |
id | pubmed-4569746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45697462015-10-05 Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings Imbir, Kamil K. Spustek, Tomasz Żygierewicz, Jarosław Front Psychol Psychology Pseudo-words are stimuli, which are useful in research concerning lexical processing. As in the case of existing words, they are language dependent; thus, they should be generated for each language separately. The Polish Pseudo-words List (PPwL) is a dataset presenting a set of 3023 stimuli (words of 4–13 letters long). They were generated using an algorithm substituting random letters in existing words with respect to the frequency of letters in certain positions. We put out the raw set for a competent judges’ assessment and included the responses in the dataset. PPwL allows the choice of suitable control stimuli for experiments concerning lexical processing. Frontiers Media S.A. 2015-09-15 /pmc/articles/PMC4569746/ /pubmed/26441770 http://dx.doi.org/10.3389/fpsyg.2015.01395 Text en Copyright © 2015 Imbir, Spustek and Żygierewicz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Imbir, Kamil K. Spustek, Tomasz Żygierewicz, Jarosław Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
title | Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
title_full | Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
title_fullStr | Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
title_full_unstemmed | Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
title_short | Polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
title_sort | polish pseudo-words list: dataset of 3023 stimuli with competent judges’ ratings |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569746/ https://www.ncbi.nlm.nih.gov/pubmed/26441770 http://dx.doi.org/10.3389/fpsyg.2015.01395 |
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