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 auchleven in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
auchleven (0) - 1 freq
auchteen (2) - 5 freq
lochleven (2) - 1 freq
achieved (3) - 14 freq
aichteen (3) - 13 freq
achieves (3) - 1 freq
achievin (3) - 3 freq
achieve (3) - 35 freq
achteen (3) - 2 freq
acheen (3) - 1 freq
auchineden (3) - 1 freq
suilven (4) - 1 freq
ficheren (4) - 1 freq
schlagen (4) - 1 freq
mauchline (4) - 4 freq
bauchlet (4) - 1 freq
gleven (4) - 1 freq
rauchled (4) - 1 freq
archives (4) - 9 freq
scrieven (4) - 2 freq
lauchen (4) - 7 freq
acteeve (4) - 1 freq
dauchle (4) - 2 freq
leven (4) - 17 freq
echteen (4) - 27 freq
auchleven (0) - 1 freq
lochleven (3) - 1 freq
auchteen (4) - 5 freq
achievin (4) - 3 freq
acheen (5) - 1 freq
cloven (5) - 5 freq
achteen (5) - 2 freq
auchineden (5) - 1 freq
aichteen (5) - 13 freq
achieve (5) - 35 freq
achieved (5) - 14 freq
achieves (5) - 1 freq
pleven (6) - 1 freq
mauchlin (6) - 13 freq
aleyven (6) - 2 freq
chauvin (6) - 4 freq
eichteen (6) - 15 freq
colvin (6) - 1 freq
heven (6) - 1 freq
achten (6) - 1 freq
fauchlin (6) - 1 freq
achieving (6) - 1 freq
wauchlin (6) - 1 freq
alven (6) - 1 freq
eleven (6) - 38 freq
SoundEx code - A241
asleep - 157 freq
auchleven - 1 freq
asleap - 1 freq
asleip - 2 freq
ashleyfrankly - 1 freq
MetaPhone code - AXLFN
auchleven - 1 freq
AUCHLEVEN
Time to execute Levenshtein function - 0.499564 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 - 0.799112 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 - 0.028690 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 - 0.085321 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 - 0.001088 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.