# English Letter Frequency Counts: Mayzner Revisited or ETAOIN SRHLDCU

DevFeed: [English Letter Frequency Counts: Mayzner Revisited or ETAOIN SRHLDCU](<https://devfeed.tech/articles/english-letter-frequency-counts-mayzner-revisited-or-etaoin-srhldcu-40576.md>)

Original publisher: [Read original article](<http://norvig.com/mayzner.html>)

Published: 2013-01-04T00:00:00Z

Content type: article

Language: en

Sources: [Peter Norvig](<https://devfeed.tech/sources/peter-norvig.md>)

Topics: [data](<https://devfeed.tech/topics/data.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Sequences](<https://devfeed.tech/topics/sequences.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [analysis](<https://devfeed.tech/tags/analysis.md>), [data](<https://devfeed.tech/tags/data.md>), [google](<https://devfeed.tech/tags/google.md>), [sequences](<https://devfeed.tech/tags/sequences.md>)

## AI overview

This article revisits Mark Mayzner's 1960s study of English letter and letter-sequence frequencies. It analyzes Google Books Ngrams data, with counts organized by word length, letter position, and n-gram length, using a much larger dataset than the original sample.

## Source excerpt

An analysis of frequency counts for letters and letter sequences (n-grams), with counts broken out by length of word and poition in word, as well as by length of ngram. A re-implementation of the work done by Mark Mayzner in the 1960s -- but this time with 30 million times more data.