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LATIC–A linguistic analyzer for text and item characteristics

Analyzing texts and items regarding their linguistic features might be important for researchers to investigate the effects of the linguistic presentation as well as for practitioners to estimate the readability of a text or an item. The Linguistic Analyzer for Text and Item Characteristics (LATIC)...

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Detalles Bibliográficos
Autores principales: Cruz Neri, Nadine, Klückmann, Florian, Retelsdorf, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632876/
https://www.ncbi.nlm.nih.gov/pubmed/36327343
http://dx.doi.org/10.1371/journal.pone.0277250
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author Cruz Neri, Nadine
Klückmann, Florian
Retelsdorf, Jan
author_facet Cruz Neri, Nadine
Klückmann, Florian
Retelsdorf, Jan
author_sort Cruz Neri, Nadine
collection PubMed
description Analyzing texts and items regarding their linguistic features might be important for researchers to investigate the effects of the linguistic presentation as well as for practitioners to estimate the readability of a text or an item. The Linguistic Analyzer for Text and Item Characteristics (LATIC) is a software that enables users to analyze texts and items more efficiently. LATIC offers a multitude of features at three different reading levels and can be used for texts and items in four different languages: English, French, German, and Spanish. It is open source, free to use and designed to be user-friendly. In this study, we investigated LATIC’s performance: LATIC achieves highly accurate results, while being extremely time saving compared to human raters. While developing LATIC, the respective features are tested continuously to ensure a high accuracy of results in the future.
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spelling pubmed-96328762022-11-04 LATIC–A linguistic analyzer for text and item characteristics Cruz Neri, Nadine Klückmann, Florian Retelsdorf, Jan PLoS One Research Article Analyzing texts and items regarding their linguistic features might be important for researchers to investigate the effects of the linguistic presentation as well as for practitioners to estimate the readability of a text or an item. The Linguistic Analyzer for Text and Item Characteristics (LATIC) is a software that enables users to analyze texts and items more efficiently. LATIC offers a multitude of features at three different reading levels and can be used for texts and items in four different languages: English, French, German, and Spanish. It is open source, free to use and designed to be user-friendly. In this study, we investigated LATIC’s performance: LATIC achieves highly accurate results, while being extremely time saving compared to human raters. While developing LATIC, the respective features are tested continuously to ensure a high accuracy of results in the future. Public Library of Science 2022-11-03 /pmc/articles/PMC9632876/ /pubmed/36327343 http://dx.doi.org/10.1371/journal.pone.0277250 Text en © 2022 Cruz Neri et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cruz Neri, Nadine
Klückmann, Florian
Retelsdorf, Jan
LATIC–A linguistic analyzer for text and item characteristics
title LATIC–A linguistic analyzer for text and item characteristics
title_full LATIC–A linguistic analyzer for text and item characteristics
title_fullStr LATIC–A linguistic analyzer for text and item characteristics
title_full_unstemmed LATIC–A linguistic analyzer for text and item characteristics
title_short LATIC–A linguistic analyzer for text and item characteristics
title_sort latic–a linguistic analyzer for text and item characteristics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632876/
https://www.ncbi.nlm.nih.gov/pubmed/36327343
http://dx.doi.org/10.1371/journal.pone.0277250
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