Credits and acknowledgments
Tall Man Lettering
WebSpellChecker specialized medical dictionaries support principles of Tall Man Lettering for identifying look-alike drug names as suggested by U.S. Food and Drug Administration (FDA) and Institute for Safe Medication Practices (ISMP).
The list of resources used for checking of the Tall Man Lettering in the drug names:
US Food and Drug Administration (FDA) and Institute for Safe Medication Practices (ISMP). FDA and ISMP Lists of Look-Alike Drug Names with Recommended Tall Man Letters. ISMP; 2023. https://www.fda.gov/drugs/medication-errors-related-cder-regulated-drug-products/fda-name-differentiation-project https://home.ecri.org/blogs/ismp-resources/list-of-confused-drug-names
List of Look-Alike Drug Names with Recommended Tall Man (Mixed Case) Letters, © ISMP Canada https://www.ismp-canada.org/download/TALLman/TALLman_lettering.pdf
LISTA DE NOMBRES SIMILARES DE MEDICAMENTOS QUE SE PRESTAN A CONFUSIÓN, Actualización 31-12-2022 © ISMP España https://www.ismp-espana.org/documentos/view/63
Empfehlung zur Kennzeichnung von Spritzen in der Intensiv- und Notfallmedizin 2012 – erste Überarbeitung des „DIVI-Standards“. Version 2.7.2012. Deutschen Interdisziplinären Vereinigung für Intensiv- und Notfallmedizin (DIVI). https://www.divi.de/joomlatools-files/docman-files/publikationen/empfehlung-spritzenetiketten/20120702-publikationen-divi-spritzenetiketten-empfehlung.pdf
Proposal of a Tall Man Letter list for German-speaking countries Author: Johannes Heck Publication: European Journal of Clinical Pharmacology Publisher: Springer Nature Date: Jan 27, 2021 Copyright © 2021, The Author(s) Published under the CC BY 4.0 Deed | Attribution 4.0 International | Creative Commons license.
CDER approved drugs and NMEs
WebSpellChecker specialized medical dictionaries utilizes names for drugs medical terms and new molecular entities (“NMEs”) that have been approved by the U.S. Food and Drug Administration’s Center for Drug Evaluation and Research (CDER). The information regarding new drugs and therapeutic biological products is derived from CDER’s publications.
The list of CDER resources approved from 2011 to 2023 used for checking the molecular entities and therapeutic biological products:
Resource credits for Ukrainian geographical names
Starting from v5.33.0, WProofreader core English spelling dictionaries and style guide functionality support Resolution No. 55 “On Normalization of Transliteration of the Ukrainian Alphabet by Means of the Latin Alphabet” of the Cabinet of Ministers of Ukraine of January 27, 2010 as the international system for the transliterations of Ukrainian geographical names.
The list of resources used for checking the names of the units of administrative and territorial divisions of Ukraine in accordance with the rendering of Ukrainian proper names by means of the Latin alphabet:
Current Resolution No. 55 of the Cabinet of Ministers of Ukraine (from January 27, 2010): https://zakon.rada.gov.ua/laws/show/en/55-2010-%D0%BF?lang=uk#Text
Publication of the 10th United Nations Conference on the Standardization of Geographical Names “Romanization System In Ukraine”: https://mfa.gov.ua/storage/app/sites/1/e-conf101-84-roman-system-ukraine-eng.pdf Prepared by: The State Service of Geodesy, Cartography and Cadaster Publisher: Ministry of Foreign Affairs of Ukraine Published under the Creative Commons Attribution 4.0 International license.
List of the units of administrative and territorial division of Ukraine and their capitals: https://mfa.gov.ua/storage/app/sites/1/2018-10-01-list.docx Publisher: Ministry of Foreign Affairs of Ukraine Published under the Creative Commons Attribution 4.0 International license.
The aforementioned resources are used solely for the purpose of ensuring the correctness of the spelling of administrative and territorial divisions of Ukraine.
Training datasets
Starting from v6.10.0, WebSpellChecker uses the following dataset to build statistical n-gram models that support spell-checking and related language processing functionality:
AllenAI C4 – A large-scale web-based dataset used for generating statistical language models that help improve spelling suggestions and other text processing capabilities.
https://huggingface.co/datasets/allenai/c4
Published under the ODC-BY license. Use of this dataset may also be subject to the Common Crawl terms of use with respect to the content contained within the dataset.
Was this helpful?