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 ahint

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

Similar words to heardle in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
heardle (0) - 5 freq
hurdle (2) - 3 freq
eardly (2) - 1 freq
headie (2) - 1 freq
haandle (2) - 2 freq
hearse (2) - 2 freq
beadle (2) - 9 freq
beardie (2) - 1 freq
iheardee (2) - 3 freq
hardie (2) - 26 freq
herdly (2) - 18 freq
wardle (2) - 11 freq
heddle (2) - 1 freq
heard- (2) - 1 freq
haardly (2) - 1 freq
mardle (2) - 1 freq
eandle (2) - 1 freq
feardie (2) - 11 freq
handle (2) - 36 freq
eardley (2) - 1 freq
heard (2) - 1286 freq
hardly (2) - 215 freq
hoarie (3) - 1 freq
hoddle (3) - 1 freq
heedge (3) - 1 freq
heardle (0) - 5 freq
herdly (2) - 18 freq
haardly (2) - 1 freq
hardly (2) - 215 freq
hurdle (2) - 3 freq
haurdlie (3) - 9 freq
mardle (3) - 1 freq
hairdlie (3) - 2 freq
handle (3) - 36 freq
haurdly (3) - 62 freq
heard- (3) - 1 freq
eardley (3) - 1 freq
hordly (3) - 1 freq
heard (3) - 1286 freq
eardly (3) - 1 freq
haandle (3) - 2 freq
heddle (3) - 1 freq
iheardee (3) - 3 freq
hairdly (3) - 55 freq
wardle (3) - 11 freq
hardie (3) - 26 freq
heared (4) - 14 freq
hirsle (4) - 3 freq
herdan (4) - 1 freq
harder (4) - 67 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
HEARDLE
Time to execute Levenshtein function - 0.205774 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 - 0.568651 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 - 0.071727 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 - 0.044657 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 - 0.000870 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.