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 ablow

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

Similar words to hairdly in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hairdly (0) - 55 freq
lairdly (1) - 2 freq
haardly (1) - 1 freq
haurdly (1) - 62 freq
hardly (1) - 209 freq
sairly (2) - 28 freq
shairply (2) - 15 freq
weirdly (2) - 5 freq
hailly (2) - 8 freq
thirdly (2) - 1 freq
fairdy (2) - 1 freq
pairtly (2) - 15 freq
fairly (2) - 233 freq
hairty (2) - 3 freq
rairly (2) - 1 freq
eardly (2) - 1 freq
hordly (2) - 1 freq
haurly (2) - 16 freq
hairry (2) - 1 freq
hairdo (2) - 3 freq
hairtll (2) - 1 freq
haily (2) - 27 freq
buirdly (2) - 3 freq
wardly (2) - 1 freq
nairly (2) - 1 freq
hairdly (0) - 55 freq
hardly (1) - 209 freq
haurdly (1) - 62 freq
haardly (1) - 1 freq
herdly (2) - 18 freq
hairdlie (2) - 2 freq
hordly (2) - 1 freq
lairdly (2) - 2 freq
hairder (3) - 16 freq
buirdly (3) - 3 freq
wardly (3) - 1 freq
haird (3) - 124 freq
hairtedly (3) - 1 freq
'hardly (3) - 1 freq
hardy (3) - 22 freq
hairdo (3) - 3 freq
harly (3) - 13 freq
yirdly (3) - 1 freq
weirdly (3) - 5 freq
haurdlie (3) - 9 freq
heardle (3) - 5 freq
thirdly (3) - 1 freq
hurdle (3) - 3 freq
eardly (3) - 1 freq
haurly (3) - 16 freq
SoundEx code - H634
haurdly - 62 freq
hardly - 209 freq
hairdly - 55 freq
herdly - 18 freq
hurdle - 3 freq
hert-likin - 4 freq
hurtlin - 7 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
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
hurtle - 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 - 209 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
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
hurtle - 1 freq
heir-at-law - 2 freq
heardle - 5 freq
HAIRDLY
Time to execute Levenshtein function - 0.224521 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 - 0.378209 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 - 0.028271 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 - 0.038938 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 - 0.000963 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.