A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to t-serks in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
t-serks (0) - 1 freq
serks (2) - 1 freq
tasers (2) - 1 freq
jerks (3) - 2 freq
sherks (3) - 2 freq
terms (3) - 133 freq
asserts (3) - 1 freq
miser's (3) - 1 freq
uisers (3) - 17 freq
serbs (3) - 2 freq
taers (3) - 19 freq
surks (3) - 1 freq
perks (3) - 9 freq
berserks (3) - 1 freq
ters (3) - 1 freq
serss (3) - 1 freq
insecks (3) - 1 freq
taeks (3) - 1 freq
timers (3) - 5 freq
seiks (3) - 1 freq
posers (3) - 5 freq
tooers (3) - 6 freq
beseiks (3) - 1 freq
desers (3) - 1 freq
takers (3) - 2 freq
t-serks (0) - 1 freq
serks (4) - 1 freq
tasers (4) - 1 freq
t-shirts (5) - 11 freq
tusks (5) - 7 freq
tasks (5) - 13 freq
tossers (5) - 7 freq
srks (5) - 1 freq
turks (5) - 4 freq
berserks (5) - 1 freq
sarks (5) - 17 freq
tee-sark (5) - 1 freq
surks (5) - 1 freq
losers (6) - 3 freq
miser's (6) - 1 freq
terk (6) - 1 freq
tweaks (6) - 1 freq
touers (6) - 4 freq
serrs (6) - 5 freq
teer's (6) - 1 freq
seeks (6) - 24 freq
asserts (6) - 1 freq
lasers (6) - 2 freq
teers (6) - 4 freq
misers (6) - 1 freq
SoundEx code - T262
teachers - 227 freq
tigers - 5 freq
tweezers - 3 freq
tee-sark - 1 freq
teegers - 36 freq
teechurs - 3 freq
tweeser's - 2 freq
teacher's - 24 freq
takers - 2 freq
tigress - 2 freq
teachers' - 5 freq
'teachers - 1 freq
taakers - 4 freq
tasers - 1 freq
tiger's - 1 freq
taichers - 2 freq
tagger's - 1 freq
tossers - 7 freq
thesaurus - 6 freq
teeger's - 10 freq
teegars - 1 freq
teigers - 2 freq
teegars' - 1 freq
thiggers - 1 freq
teichars - 1 freq
techers - 1 freq
twa-cairiage - 1 freq
thesauruses - 2 freq
thick-craigit - 1 freq
t-serks - 1 freq
tkqrk - 1 freq
thecircle - 1 freq
thegreygoose - 3 freq
tigrez - 1 freq
tjrezacb - 1 freq
teachers- - 1 freq
MetaPhone code - TSRKS
t-serks - 1 freq
T-SERKS
Time to execute Levenshtein function - 0.254680 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 - 0.388881 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 - 0.031131 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 - 0.038903 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 - 0.000907 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.