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 turner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
turner (0) - 8 freq
turned (1) - 491 freq
burner (1) - 3 freq
tuner (1) - 1 freq
turnen (1) - 2 freq
turne (1) - 1 freq
gturner (1) - 1 freq
tusker (2) - 2 freq
funner (2) - 1 freq
warner (2) - 1 freq
murned (2) - 4 freq
gurned (2) - 1 freq
turnit (2) - 27 freq
gunner (2) - 2 freq
burker (2) - 2 freq
turnis (2) - 6 freq
earner (2) - 2 freq
turse (2) - 1 freq
tanner (2) - 10 freq
turnt (2) - 621 freq
sterner (2) - 1 freq
thunner (2) - 73 freq
turns (2) - 354 freq
wunner (2) - 281 freq
tunnel (2) - 85 freq
turner (0) - 8 freq
gturner (2) - 1 freq
turnen (2) - 2 freq
turne (2) - 1 freq
tuner (2) - 1 freq
burner (2) - 3 freq
turned (2) - 491 freq
girner (3) - 1 freq
turneen (3) - 1 freq
turr (3) - 1 freq
turnip (3) - 4 freq
terzer (3) - 1 freq
tonner (3) - 1 freq
torter (3) - 1 freq
tinner (3) - 1 freq
corner (3) - 317 freq
turn (3) - 793 freq
werner (3) - 1 freq
turnkey (3) - 2 freq
truer (3) - 5 freq
turnie (3) - 2 freq
tirned (3) - 24 freq
thoner (3) - 2 freq
turn' (3) - 1 freq
tapner (3) - 2 freq
SoundEx code - T656
tyremarks - 1 freq
trainers - 46 freq
trainer - 10 freq
turner's - 2 freq
turner - 8 freq
tremor - 3 freq
threehunner - 1 freq
turnower - 2 freq
turn-aroon - 1 freq
toremore - 1 freq
trimmer - 1 freq
trainwreck - 1 freq
terrymurden - 1 freq
tyronmarshall - 1 freq
MetaPhone code - TRNR
trainer - 10 freq
turner - 8 freq
drainer - 2 freq
TURNER
Time to execute Levenshtein function - 0.192316 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 - 0.317965 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 - 0.027081 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 - 0.036929 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 - 0.000898 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.