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 splashan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
splashan (0) - 2 freq
splashin (1) - 17 freq
splashen (1) - 4 freq
splash (2) - 39 freq
splashie (2) - 2 freq
splishin (2) - 1 freq
splashes (2) - 3 freq
spashin (2) - 1 freq
sploshin (2) - 1 freq
slashin (2) - 3 freq
splashing (2) - 2 freq
clashan (2) - 2 freq
splashin' (2) - 1 freq
lashan (2) - 1 freq
flashan (2) - 2 freq
splashed (2) - 14 freq
plashin (2) - 3 freq
spaekan (3) - 32 freq
sloshin (3) - 3 freq
splashback (3) - 1 freq
blashin (3) - 1 freq
speeshal (3) - 1 freq
splesh (3) - 2 freq
plasma (3) - 5 freq
speak-an (3) - 1 freq
splashan (0) - 2 freq
splashen (1) - 4 freq
splashin (1) - 17 freq
splishin (2) - 1 freq
sploshin (2) - 1 freq
splashin' (3) - 1 freq
splash (3) - 39 freq
splashed (3) - 14 freq
plashin (3) - 3 freq
splashie (3) - 2 freq
splooshin (3) - 3 freq
splashing (3) - 2 freq
splashes (3) - 3 freq
slashin (3) - 3 freq
spashin (3) - 1 freq
sleshin (4) - 1 freq
splesh (4) - 2 freq
slooshan (4) - 1 freq
flashan (4) - 2 freq
lashan (4) - 1 freq
sloshin (4) - 3 freq
clashan (4) - 2 freq
blushan (5) - 1 freq
clashin (5) - 9 freq
pushan (5) - 3 freq
SoundEx code - S142
soapflakes - 1 freq
splashed - 14 freq
splash - 39 freq
splashin - 17 freq
sheep-bells - 4 freq
soup-like - 1 freq
sploosh - 2 freq
shapeless - 3 freq
supplies - 17 freq
spauls - 1 freq
spells - 21 freq
spoils - 2 freq
splooshin - 3 freq
siblike - 15 freq
spiels - 2 freq
supplications - 1 freq
supplicant - 1 freq
supplication - 2 freq
spuilzie - 1 freq
supplicants - 2 freq
splashing - 2 freq
splashen - 4 freq
splooshed - 1 freq
spills - 9 freq
sepulchre - 5 freq
swivels - 1 freq
sppppplooooccoo - 1 freq
spails - 2 freq
safilike - 1 freq
'spells - 1 freq
spluish - 1 freq
splashie - 2 freq
'shovels' - 1 freq
splishin - 1 freq
splashback - 1 freq
squabbles - 1 freq
shovels - 10 freq
splesh - 2 freq
spiles - 1 freq
shoepolish - 2 freq
shoe-polish - 6 freq
sea-flech - 1 freq
sublight - 1 freq
sibbles - 1 freq
splashes - 3 freq
splashan - 2 freq
speils - 1 freq
spulzie - 2 freq
shabbles - 1 freq
spleuk - 1 freq
spellchecker - 1 freq
scuffles - 2 freq
spell-checking - 1 freq
supplicatioune - 1 freq
sapples - 2 freq
spulyeis - 1 freq
shuffles - 3 freq
splooshes - 1 freq
splashin' - 1 freq
sploshin - 1 freq
spellcheck - 6 freq
scoobyless - 1 freq
sofology - 1 freq
sgovlcz - 1 freq
spellcheckers - 1 freq
splice' - 1 freq
saveloch - 1 freq
sevillecalculat - 1 freq
splooshy - 1 freq
soaplastslonger - 1 freq
sbvlswv - 1 freq
MetaPhone code - SPLXN
splashin - 17 freq
splooshin - 3 freq
splashen - 4 freq
splishin - 1 freq
splashan - 2 freq
splashin' - 1 freq
sploshin - 1 freq
SPLASHAN
Time to execute Levenshtein function - 0.210762 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 - 0.371113 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 - 0.030064 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 - 0.037696 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 - 0.000915 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.