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 three-score in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
three-score (0) - 3 freq
three-coorse (3) - 1 freq
three-pace (4) - 1 freq
three-tiered (4) - 2 freq
trees-are (4) - 1 freq
trees're (4) - 1 freq
three-piece (4) - 4 freq
three-foil (4) - 1 freq
threedbare (4) - 1 freq
three-year (4) - 1 freq
treesure (4) - 2 freq
the-fore (4) - 1 freq
treesome (4) - 1 freq
three-tier (4) - 1 freq
three-fower (4) - 4 freq
tree-stump (5) - 1 freq
free-stane (5) - 2 freq
three-han (5) - 1 freq
threes (5) - 11 freq
large-scale (5) - 1 freq
threshart (5) - 4 freq
tree-roots (5) - 1 freq
treesures (5) - 1 freq
threshold (5) - 14 freq
three-wheel (5) - 1 freq
three-score (0) - 3 freq
three-coorse (5) - 1 freq
three-year (6) - 1 freq
three-piece (6) - 4 freq
three-tier (6) - 1 freq
three-fower (6) - 4 freq
three-pace (6) - 1 freq
thresher (7) - 2 freq
tyre-scaurs (7) - 2 freq
three-fluir (7) - 1 freq
thrie-year (7) - 1 freq
trees're (7) - 1 freq
three-tiered (7) - 2 freq
threedbare (7) - 1 freq
three-foil (7) - 1 freq
treesure (7) - 2 freq
trees-are (7) - 1 freq
the-fore (7) - 1 freq
three's (8) - 2 freq
three-times (8) - 8 freq
throucome (8) - 1 freq
three-fifty (8) - 1 freq
three-d (8) - 1 freq
unnerscore (8) - 1 freq
treesur (8) - 1 freq
SoundEx code - T626
treesure - 2 freq
trigger - 13 freq
treisur - 17 freq
treisurs - 7 freq
traisure - 1 freq
troosers - 77 freq
trousers - 12 freq
traicherous - 2 freq
three-quaarters - 2 freq
trees're - 1 freq
treesur - 1 freq
troqueer - 2 freq
tarrycroys - 1 freq
three-score - 3 freq
treisured - 3 freq
treasure - 40 freq
trickerie - 1 freq
'treacherie - 1 freq
treacherse - 1 freq
treacherie - 4 freq
treasured - 10 freq
treachery - 3 freq
triggers - 1 freq
treisure - 19 freq
tresors - 1 freq
three-quarters - 4 freq
trigger-pu'in - 1 freq
treacherous - 4 freq
trooser - 10 freq
traisured - 2 freq
treysures - 4 freq
treysure - 4 freq
three-coorse - 1 freq
treasures - 4 freq
thresher - 2 freq
treasury - 3 freq
torchirt - 1 freq
trizzure - 5 freq
threequarters - 1 freq
traisur - 3 freq
traisurs - 1 freq
trackers - 1 freq
treacherously - 1 freq
tyre-scaurs - 2 freq
three-quarter - 3 freq
trickery - 1 freq
trookers - 2 freq
traisure- - 1 freq
treisures - 1 freq
treasurer - 4 freq
'treacherous - 1 freq
thrie-score-an-ten - 1 freq
traesir - 2 freq
troker - 1 freq
€œtreasure - 1 freq
threshart - 4 freq
treisurable - 2 freq
trokerie - 1 freq
triggered - 2 freq
treisurin - 1 freq
treesures - 1 freq
treasuir - 1 freq
treezhird - 1 freq
trooker - 2 freq
thearchers - 1 freq
trees-are - 1 freq
terzer - 1 freq
trucker - 1 freq
troqueerprimary - 1 freq
torkirra - 1 freq
threecheersfurdaguizerjarl - 1 freq
MetaPhone code - 0RSKR
three-score - 3 freq
THREE-SCORE
Time to execute Levenshtein function - 0.249179 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 - 0.402901 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 - 0.032326 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 - 0.038145 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 - 0.000850 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.