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 veterans in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
veterans (0) - 8 freq
veteransr (1) - 2 freq
veteran (1) - 4 freq
veteran's (1) - 1 freq
caterans (2) - 5 freq
veteran’s (2) - 1 freq
eerans (2) - 1 freq
eeran (3) - 2 freq
reverant (3) - 3 freq
ceitezans (3) - 4 freq
ceterae (3) - 1 freq
terns (3) - 2 freq
getherins (3) - 2 freq
eterne (3) - 2 freq
beerana (3) - 1 freq
lenterns (3) - 1 freq
utteran (3) - 1 freq
emerant (3) - 9 freq
vera's (3) - 3 freq
peter's (3) - 4 freq
venera (3) - 2 freq
strans (3) - 1 freq
seterdays (3) - 1 freq
returns (3) - 29 freq
neteral (3) - 1 freq
veterans (0) - 8 freq
veteran (2) - 4 freq
veteran's (2) - 1 freq
veteransr (2) - 2 freq
caterans (3) - 5 freq
trans (4) - 5 freq
vrans (4) - 1 freq
returns (4) - 29 freq
efterins (4) - 1 freq
voters (4) - 63 freq
strans (4) - 1 freq
sterns (4) - 26 freq
eerans (4) - 1 freq
veteran’s (4) - 1 freq
terns (4) - 2 freq
peters (5) - 4 freq
vettriano (5) - 1 freq
strins (5) - 2 freq
sternys (5) - 1 freq
eftirins (5) - 3 freq
veerin (5) - 1 freq
alteran (5) - 1 freq
vegans (5) - 1 freq
meters (5) - 12 freq
paiterns (5) - 2 freq
SoundEx code - V365
veterans - 8 freq
veteran - 4 freq
veteran's - 1 freq
vettriano - 1 freq
veteran’s - 1 freq
vtrmalv - 1 freq
veteransr - 2 freq
MetaPhone code - FTRNS
veterans - 8 freq
veteran's - 1 freq
veteran’s - 1 freq
VETERANS
Time to execute Levenshtein function - 0.500051 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 - 0.529537 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 - 0.034038 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 - 0.037134 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 - 0.000913 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.