"The shortest way towards the future is the one
that starts by deepening the past."
Aimé Césaire
: Removing "noise" like gibberish, heavy profanity (unless specifically requested), and ultra-rare technical jargon.
: Ordering words by how often they appear in real-world text (e.g., Google's Trillion Word Corpus or academic databases).
(by Josh Kaufman): Despite the name, it often includes a 20k.txt variant derived from Google's n-gram data. It is widely considered the industry standard for "solid" curation.
: Providing a clean, one-word-per-line text file that is easy to ingest into code. Popular 20k.txt Sources
: A massive repository on GitHub that offers various sizes, including 20k subsets, often used for word games or dictionary apps.
While "solid write-up" is subjective, it typically refers to the documentation or the curation process behind these word lists. The most well-regarded versions are praised for:
: A more academic approach that provides word lists based on multiple sources (Wikipedia, subtitles, etc.) and is highly respected for its statistical accuracy.
Vice-president & co-founder
Artist and scenographer
President & co-founder
Innovation Strategist
Vice-president & co-founder
Professor, Faculty of Engineering, Cairo University
Former Minister of Higher Education & Scientific Research
















ScanPyramids Big Void and ScanPyramids North Face Corridor - English Version from HIP Institute on Vimeo.
Envisioning the future of VR thanks to Egyptian Heritage - English Version from HIP Institute on Vimeo. 20k.txt
ScanPyramids first discoveries October 2016 - Official Video Report - English Version from HIP Institute on Vimeo. : Removing "noise" like gibberish, heavy profanity (unless
ScanPyramids Q1 2016 Video Report (Muons Techniques) from HIP Institute on Vimeo. It is widely considered the industry standard for
ScanPyramids in 2015... To be continued in 2016 from HIP Institute on Vimeo.
ScanPyramids Mission - Teaser English Version from HIP Institute on Vimeo.
ScanPyramids Mission Teaser Version française from HIP Institute on Vimeo.
: Removing "noise" like gibberish, heavy profanity (unless specifically requested), and ultra-rare technical jargon.
: Ordering words by how often they appear in real-world text (e.g., Google's Trillion Word Corpus or academic databases).
(by Josh Kaufman): Despite the name, it often includes a 20k.txt variant derived from Google's n-gram data. It is widely considered the industry standard for "solid" curation.
: Providing a clean, one-word-per-line text file that is easy to ingest into code. Popular 20k.txt Sources
: A massive repository on GitHub that offers various sizes, including 20k subsets, often used for word games or dictionary apps.
While "solid write-up" is subjective, it typically refers to the documentation or the curation process behind these word lists. The most well-regarded versions are praised for:
: A more academic approach that provides word lists based on multiple sources (Wikipedia, subtitles, etc.) and is highly respected for its statistical accuracy.