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 answered in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
answered (0) - 114 freq
unswered (1) - 4 freq
answert (2) - 158 freq
answer's (2) - 3 freq
answerit (2) - 1 freq
answeran (2) - 1 freq
antlered (2) - 1 freq
angered (2) - 2 freq
answer- (2) - 1 freq
unsered (2) - 1 freq
answer't (2) - 18 freq
answer (2) - 438 freq
unanswered (2) - 3 freq
answers (2) - 72 freq
answerin (2) - 21 freq
swerd (3) - 1 freq
assured (3) - 30 freq
unswer (3) - 6 freq
unspared (3) - 1 freq
inspired (3) - 45 freq
inquered (3) - 3 freq
insured (3) - 3 freq
maistered (3) - 1 freq
pestered (3) - 1 freq
unshared (3) - 1 freq
answered (0) - 114 freq
unswered (1) - 4 freq
answer- (3) - 1 freq
unsered (3) - 1 freq
unanswered (3) - 3 freq
answers (3) - 72 freq
answeran (3) - 1 freq
answert (3) - 158 freq
answerin (3) - 21 freq
answerit (3) - 1 freq
answer (3) - 438 freq
ensnared (4) - 2 freq
answeir (4) - 2 freq
unshared (4) - 1 freq
unswers (4) - 1 freq
nswer (4) - 1 freq
aunswert (4) - 1 freq
answeirt (4) - 1 freq
ainswert (4) - 1 freq
insured (4) - 3 freq
aunswer (4) - 2 freq
inspired (4) - 45 freq
angered (4) - 2 freq
unswer (4) - 6 freq
sweared (4) - 1 freq
SoundEx code - A526
answer - 438 freq
answert - 158 freq
angry - 79 freq
angrily - 18 freq
answerin - 21 freq
ainswert - 1 freq
answers - 72 freq
answered - 114 freq
anchor - 28 freq
angert - 16 freq
angriest - 2 freq
anger - 68 freq
angert-like - 1 freq
aunswert - 1 freq
angrier - 6 freq
answerable - 2 freq
anchored - 10 freq
aunchorit - 1 freq
angered - 2 freq
awnswer - 2 freq
'answer - 2 freq
answer't - 18 freq
anachronistic - 2 freq
answeran - 1 freq
answer's - 3 freq
ang'r - 2 freq
ang'rie - 7 freq
ans'ers - 1 freq
anchort - 3 freq
anacreon - 1 freq
anggert - 1 freq
angirt-lik - 1 freq
awnser - 5 freq
annacker's - 2 freq
anocher - 1 freq
anchorin - 1 freq
angerow - 1 freq
ansuer - 1 freq
an-soor - 1 freq
anchors - 1 freq
ainger - 3 freq
angry' - 1 freq
aince-a-year - 1 freq
answer-na - 1 freq
angersome - 1 freq
answer''t - 1 freq
anchorage - 1 freq
aunser - 2 freq
answerit - 1 freq
answering - 4 freq
awnsert - 4 freq
awnsers - 1 freq
angirt - 3 freq
aunsert - 1 freq
anachronisms - 2 freq
anser - 5 freq
anchoring - 1 freq
aunswer - 2 freq
aunsir - 1 freq
ancrum - 1 freq
answer- - 1 freq
angeret - 1 freq
answeirt - 1 freq
angreen - 1 freq
answeir - 2 freq
ansir - 1 freq
anmgroup - 1 freq
angryscotland - 3 freq
answeryourphonr - 1 freq
anassarwar - 9 freq
angrya - 3 freq
amycharlton - 1 freq
anagram - 1 freq
amshru - 1 freq
angrysalmond - 3 freq
amygear - 4 freq
angrykid - 1 freq
ansar - 1 freq
amygarbett - 1 freq
MetaPhone code - ANSWRT
answert - 158 freq
ainswert - 1 freq
answered - 114 freq
aunswert - 1 freq
answer't - 18 freq
answer''t - 1 freq
answerit - 1 freq
answeirt - 1 freq
ANSWERED
answer - 438 freq
answers - 72 freq
answered - 114 freq
answering - 4 freq
answerin - 21 freq
Time to execute Levenshtein function - 0.232973 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 - 0.342671 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 - 0.031377 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 - 0.039422 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 - 0.001125 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.