Your English writing platform
Discover LudwigExact(1)
The results also demonstrated that generalization of training effects was unaffected by sub-lexical orthographic frequency in other words, untrained items containing letter combinations that had a high frequency in the training corpus were not read faster than untrained words with low frequency letter combinations.
Similar(59)
To quantify differences beyond subjects of conversation, we tested other statistics using the same method we used for testing differences in word usage: frequency of letter usage, letter pair usage, word length and three-letter word ending.
Frequency and letter length were obtained using the program N-watch (Davis, 2005).
Biphone frequency and letter length were included primarily to ensure that effects of the other variables could not be attributed to correlations with these factors.
The latter cluster was split into one cluster containing association and LSA and another containing summed word frequency and letter length.
As is shown in Fig. 2, the first split is between a cluster of three variables category (forward or reversed), meaningfulness rating, and phrase frequency and the remaining four variables association, LSA, summed word frequency, and letter length.
Using simultaneous multiple linear regression analysis for which the dependent measure was each subject's mean-centered RT to each word, we examined effects of the 6 variables of interest, as well as interactions of word frequency with letter length, consistency, bigram frequency, and imageability, for effects on RT.
In fact, we can understand each alignment column in our scoring systems as a finite sample from such a distribution, (8) s i (a ) = log q ˜ i (a ) p 0 (a ) with (9) q ˜ i (a ) = n i (a ) + p 0 (a ) N i + 1 → N i ≫ 1 q i (a ), where p0(a) is the frequency of letter a in some background sequence that we are comparing the q sequence to.
Using what you know about the frequency of letters appearing and what you've gathered from context clues about individual-word letters and apostrophes, you can get cracking more by starting in on the short two-letter words.
But they proved robust to changes in language, word length and frequency of letters.
Indeed, the frequency of letters he sends welcoming new ministers to their posts suggests a black spider memo from the heir to the throne is as much a milestone of political promotion as the arrival of a ministerial car.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com