A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to moorpark in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
moorpark (0) - 10 freq
carpark (3) - 5 freq
mortar (3) - 9 freq
moorland (3) - 3 freq
bookmark (3) - 1 freq
morcar (3) - 4 freq
cornpark (3) - 1 freq
oarwark (3) - 1 freq
moorburn (3) - 1 freq
morear (3) - 3 freq
hooswark (3) - 1 freq
corpach (4) - 1 freq
ootward (4) - 6 freq
mozart (4) - 12 freq
moocher (4) - 2 freq
moorit (4) - 8 freq
morvern (4) - 1 freq
documark (4) - 3 freq
motorway (4) - 8 freq
morra (4) - 76 freq
sooran (4) - 1 freq
pooper (4) - 1 freq
wor-are (4) - 1 freq
anorak (4) - 11 freq
morals (4) - 10 freq
moorpark (0) - 10 freq
carpark (4) - 5 freq
muirkirk (5) - 47 freq
moorburn (5) - 1 freq
morear (5) - 3 freq
cornpark (5) - 1 freq
oarwark (5) - 1 freq
mortar (5) - 9 freq
carpairk (5) - 1 freq
morcar (5) - 4 freq
mordor (6) - 2 freq
playpark (6) - 1 freq
mourner (6) - 2 freq
spark (6) - 35 freq
morph (6) - 1 freq
mourners (6) - 6 freq
morecar (6) - 1 freq
morra' (6) - 1 freq
murrkirk (6) - 2 freq
moorky (6) - 1 freq
morphed (6) - 1 freq
morrae (6) - 2 freq
trark (6) - 1 freq
owerwark (6) - 1 freq
mark (6) - 222 freq
SoundEx code - M616
marbroy - 1 freq
moorpark - 10 freq
moorburn - 1 freq
morvern - 1 freq
€˜moreover - 1 freq
morayfirthradio - 2 freq
marebearturner - 32 freq
MetaPhone code - MRPRK
moorpark - 10 freq
MOORPARK
Time to execute Levenshtein function - 0.207463 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 - 0.386323 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 - 0.027027 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 - 0.038745 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 - 0.000875 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.