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 seekers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
seekers (0) - 9 freq
seeker's (1) - 2 freq
keekers (1) - 3 freq
seeker (1) - 2 freq
spikers (2) - 3 freq
speers (2) - 7 freq
slevers (2) - 2 freq
weekens (2) - 1 freq
seers (2) - 3 freq
sheers (2) - 2 freq
sookers (2) - 2 freq
wheekers (2) - 1 freq
sleepers (2) - 4 freq
neepers (2) - 5 freq
speeders (2) - 7 freq
deeners (2) - 1 freq
steerers (2) - 1 freq
peelers (2) - 7 freq
senders (2) - 1 freq
feelers (2) - 1 freq
seekent (2) - 1 freq
sewers (2) - 5 freq
skeklers (2) - 1 freq
servers (2) - 1 freq
steers (2) - 11 freq
seekers (0) - 9 freq
sookers (2) - 2 freq
seeker (2) - 2 freq
seeker's (2) - 2 freq
keekers (2) - 3 freq
steeers (3) - 1 freq
spakers (3) - 4 freq
speikers (3) - 46 freq
beakers (3) - 1 freq
steers (3) - 11 freq
speakers (3) - 223 freq
shakers (3) - 2 freq
sneers (3) - 2 freq
sweers (3) - 1 freq
seeks (3) - 24 freq
skiers (3) - 2 freq
sekes (3) - 2 freq
spaekers (3) - 39 freq
sewers (3) - 5 freq
smokers (3) - 8 freq
yerkers (3) - 2 freq
speers (3) - 7 freq
seers (3) - 3 freq
spikers (3) - 3 freq
sheers (3) - 2 freq
SoundEx code - S262
saucers - 6 freq
sassers - 6 freq
swaggers - 4 freq
seeker's - 2 freq
sacrist - 1 freq
shakers - 2 freq
seekers - 9 freq
secrecy - 4 freq
scissors - 6 freq
sugars - 2 freq
sojers - 54 freq
seizures - 1 freq
sugar-coatit - 1 freq
sex-crazed - 1 freq
skooshers - 1 freq
secures - 1 freq
skagerrak's - 1 freq
segregatit - 3 freq
saasers - 1 freq
soger's - 1 freq
shoogie-horse-flee - 2 freq
shoogie-horse-stang-na - 1 freq
swackeries - 1 freq
saicrecy - 1 freq
sikorsky - 2 freq
sikkars - 1 freq
segregate - 1 freq
segregation - 4 freq
sacrosanct - 1 freq
sugarcandy - 3 freq
soajers - 1 freq
sookers - 2 freq
secrests - 1 freq
sojours - 1 freq
sograsutherland - 1 freq
“segregation” - 1 freq
sugaracre - 1 freq
shugriggie - 1 freq
shaggers - 2 freq
MetaPhone code - SKRS
scaurs - 5 freq
skerries - 10 freq
scarce - 48 freq
squares - 17 freq
seeker's - 2 freq
scars - 12 freq
screws - 22 freq
scurries - 5 freq
scours - 4 freq
skiers - 2 freq
scores - 15 freq
seekers - 9 freq
scairse - 3 freq
skurry's - 1 freq
scairs - 1 freq
scrious - 1 freq
scoor's - 1 freq
screes - 1 freq
scurry's - 1 freq
secrecy - 4 freq
scarrows - 1 freq
scares - 5 freq
cigars - 5 freq
squeers - 1 freq
sugars - 2 freq
scaur's - 1 freq
scoors - 2 freq
secures - 1 freq
skroos - 3 freq
scrows - 1 freq
scaers - 1 freq
scroos - 1 freq
skaurs - 1 freq
skaars - 1 freq
scairce - 1 freq
scurrie's - 1 freq
skerrs - 2 freq
saicrecy - 1 freq
scries - 1 freq
skurries - 2 freq
skairs - 2 freq
squars - 1 freq
skouriss - 1 freq
sikkars - 1 freq
sookers - 2 freq
SEEKERS
Time to execute Levenshtein function - 0.210031 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 - 0.381506 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 - 0.030339 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 - 0.040725 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 - 0.003946 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.