A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to hatimo in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hatimo (0) - 3 freq
hatin (2) - 2 freq
fatima (2) - 1 freq
patio (2) - 5 freq
haims (2) - 4 freq
haimm (2) - 1 freq
hatit (2) - 15 freq
haime (2) - 26 freq
atmo (2) - 1 freq
haim (2) - 30 freq
saime (3) - 14 freq
hamish (3) - 44 freq
daytime (3) - 7 freq
akio (3) - 1 freq
aiko (3) - 1 freq
wmtim (3) - 1 freq
bltime (3) - 1 freq
haild (3) - 2 freq
hatted (3) - 1 freq
hitin (3) - 1 freq
taetime (3) - 2 freq
hairs (3) - 35 freq
hailt (3) - 6 freq
alamo (3) - 2 freq
nato (3) - 5 freq
hatimo (0) - 3 freq
hatit (3) - 15 freq
haime (3) - 26 freq
atmo (3) - 1 freq
haimm (3) - 1 freq
haim (3) - 30 freq
htm (3) - 17 freq
fatima (3) - 1 freq
hatin (3) - 2 freq
hautit (4) - 2 freq
hime (4) - 17 freq
'time (4) - 4 freq
haitin (4) - 6 freq
naetime (4) - 1 freq
aatum (4) - 1 freq
html (4) - 22 freq
hattie (4) - 1 freq
hatt (4) - 1 freq
him (4) - 8386 freq
hait (4) - 16 freq
taytime (4) - 1 freq
taytim (4) - 1 freq
hatet (4) - 9 freq
hima (4) - 4 freq
haitd (4) - 1 freq
SoundEx code - H350
haudin - 374 freq
hadna - 113 freq
heatin - 16 freq
hauden - 48 freq
hidna - 103 freq
hidin - 77 freq
hidnae - 55 freq
hittin - 35 freq
hadnae - 186 freq
heidin - 58 freq
huddin - 23 freq
hauden-awa - 1 freq
hawdin - 8 freq
headin - 45 freq
haedna - 49 freq
hudden - 3 freq
hoddin - 3 freq
haitin - 6 freq
heid-doun - 3 freq
hidden - 64 freq
hootin - 4 freq
hudnae - 58 freq
hatton - 1 freq
hadean - 3 freq
hodden - 8 freq
'haithen - 1 freq
haithen - 5 freq
heatin' - 5 freq
hudin' - 2 freq
heeten - 1 freq
heeden - 5 freq
heedin - 11 freq
hidin' - 1 freq
haudin' - 1 freq
hoadin - 3 freq
hutten - 1 freq
hawddin - 1 freq
hidno - 2 freq
htm - 17 freq
heidyin - 14 freq
haednae - 8 freq
had'nae - 1 freq
heidin' - 2 freq
hidein' - 1 freq
heiden - 1 freq
heathen - 9 freq
hedna - 72 freq
haddan - 2 freq
hidan - 3 freq
haddin - 15 freq
hadden - 3 freq
houdin - 1 freq
heateen - 1 freq
heedan - 1 freq
hie-heid-yin - 1 freq
haaden - 2 freq
haadan - 2 freq
headan - 3 freq
houton - 1 freq
haedan - 3 freq
hatimo - 3 freq
hiddin - 1 freq
hattamoa - 2 freq
haudan - 4 freq
heid-doon - 1 freq
hoidin - 5 freq
hitin - 1 freq
haadin - 13 freq
hutton - 5 freq
heid-yin' - 1 freq
haedin - 1 freq
headone - 1 freq
heid-yin - 1 freq
hadn - 2 freq
huddin' - 1 freq
howdin - 1 freq
hauddin - 2 freq
haidna - 2 freq
hudna - 5 freq
hudny - 2 freq
'heidin' - 1 freq
hudin - 2 freq
houdini - 4 freq
hadni - 1 freq
howdien - 6 freq
hednae - 4 freq
hey-tyme - 1 freq
heid-on - 1 freq
hydin - 1 freq
hittn - 1 freq
heaton - 1 freq
hidn - 1 freq
hawtin - 1 freq
hatin - 2 freq
MetaPhone code - HTM
hatimo - 3 freq
hattamoa - 2 freq
hey-tyme - 1 freq
HATIMO
Time to execute Levenshtein function - 0.213720 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 - 0.349206 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 - 0.028943 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 - 0.036619 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 - 0.000849 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.