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The process to create a corpus suitable for evaluating computer keyboard layouts optimised for typing English and computer program code. After sourcing, sampling and cleaning suitable texts, the texts are processed to extract bigrams, which are then used to create sample input texts of a desired length. These texts have a character distribution, and letter sequence, closely matching either English or computer programs, even though they look random. The resulting texts are excellent for evaluating keyboard layouts. Corpus analysis is included. p { margin-bottom: 0.25cm; line-height: 115%; orphans: 0; widows: 0; background: transparent; page-break-before: auto }p.western { font-family: "Libertinus Math"; font-size: 12pt; font-weight: normal }a:visited { color: #800000; so-language: zxx; text-decoration: underline }a:link { color: #000080; so-language: zxx; text-decoration: underline }
Includes related data files, but not the actual corpora, due to avoiding any copyright issues. 28 March 2021 1.0.0 Initial version. 29 March 2021 1.0.1 Added 4,5,6,7,8,9-grams, made tables more compact. Added Appendix A. 12 September 2021 1.0.2 Changed .csv files in dataset to .txt and .ods versions for better spreadsheet compatibility. Included 7, 8, 9-grams in dataset.
English text corpus, computer code corpus, English letter frequency, computer program character frequency, bigram frequency, letter follows letter probability, letter precedes letter probability, keyboard layout, keyboard layout evaluation.
English text corpus, computer code corpus, English letter frequency, computer program character frequency, bigram frequency, letter follows letter probability, letter precedes letter probability, keyboard layout, keyboard layout evaluation.
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