A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to hertily in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hertily (0) - 2 freq
hertitly (1) - 1 freq
hert-ill (2) - 1 freq
verily (2) - 2 freq
fertile (2) - 22 freq
herdly (2) - 18 freq
merrily (2) - 5 freq
hertie (2) - 11 freq
dentily (2) - 1 freq
herty (2) - 10 freq
eerily (2) - 1 freq
nestily (2) - 1 freq
jerkily (2) - 1 freq
hertit (2) - 18 freq
heavily (2) - 9 freq
tentily (2) - 22 freq
gentily (2) - 4 freq
hertilie (2) - 1 freq
hastily (2) - 22 freq
huffily (3) - 3 freq
here'll (3) - 1 freq
mettil (3) - 1 freq
smertly (3) - 24 freq
derkly (3) - 1 freq
deithly (3) - 1 freq
hertily (0) - 2 freq
hertilie (2) - 1 freq
hertitly (2) - 1 freq
hertit (3) - 18 freq
herty (3) - 10 freq
hastily (3) - 22 freq
hertie (3) - 11 freq
hurtle (3) - 3 freq
herdly (3) - 18 freq
fertile (3) - 22 freq
partly (4) - 10 freq
herten (4) - 3 freq
hersel (4) - 1059 freq
hordly (4) - 1 freq
hertlan (4) - 1 freq
hartis (4) - 1 freq
herts (4) - 119 freq
dentily (4) - 1 freq
hert (4) - 770 freq
turtil (4) - 1 freq
herbal (4) - 5 freq
hert- (4) - 1 freq
overtly (4) - 1 freq
hurly (4) - 4 freq
hurkil (4) - 1 freq
SoundEx code - H634
haurdly - 62 freq
hardly - 215 freq
hairdly - 55 freq
herdly - 18 freq
hurdle - 3 freq
hert-likin - 4 freq
hurtlin - 9 freq
hurriedly - 5 freq
hertless - 11 freq
haurdlie - 9 freq
herd-laddie-an - 1 freq
hertilie - 1 freq
hardhill - 2 freq
hairtll - 1 freq
heartless - 6 freq
hordly - 1 freq
hurtle - 3 freq
hurdlin - 1 freq
hairt-liftin - 1 freq
hurdles - 1 freq
hurdlit - 1 freq
hart'll - 2 freq
hurtled - 3 freq
hairt'il - 1 freq
hardliners - 1 freq
hert-lazy - 3 freq
hert-laziness - 1 freq
hertlands - 2 freq
hairdlie - 2 freq
haird-lukkin - 1 freq
hertlans - 1 freq
hertlan - 1 freq
hairdly-human - 1 freq
'hardly - 1 freq
hert-line - 1 freq
hairtlan - 5 freq
hairtlans - 3 freq
hert-ill - 1 freq
hertholl - 2 freq
hert-holl - 5 freq
hairt'll - 1 freq
hairt-likin - 1 freq
hertily - 2 freq
hertland - 3 freq
heartland - 1 freq
hairtless - 2 freq
hert-liftin - 1 freq
hairtlands - 1 freq
hertlaunds - 1 freq
heartlands - 2 freq
haardly - 1 freq
herd-laddie - 1 freq
heir-at-law - 2 freq
hairtland - 1 freq
haurdlies - 1 freq
hertlauns - 2 freq
heardle - 5 freq
MetaPhone code - HRTL
haurdly - 62 freq
hardly - 215 freq
hairdly - 55 freq
herdly - 18 freq
hurdle - 3 freq
hurriedly - 5 freq
haurdlie - 9 freq
hertilie - 1 freq
hairtll - 1 freq
hordly - 1 freq
hurtle - 3 freq
hart'll - 2 freq
hairt'il - 1 freq
hairdlie - 2 freq
'hardly - 1 freq
hert-ill - 1 freq
hairt'll - 1 freq
hertily - 2 freq
haardly - 1 freq
heir-at-law - 2 freq
heardle - 5 freq
HERTILY
Time to execute Levenshtein function - 0.264761 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.490459 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.035464 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.044275 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.001374 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.