A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to angersome in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
angersome (0) - 1 freq
langersome (1) - 1 freq
langersom (2) - 1 freq
attersome (2) - 1 freq
langsome (3) - 8 freq
faersome (3) - 5 freq
andersons (3) - 4 freq
awesome (3) - 35 freq
lanesome (3) - 29 freq
fowersome (3) - 2 freq
hindersome (3) - 1 freq
anderson (3) - 180 freq
wunnersome (3) - 8 freq
canglesome (3) - 1 freq
angerow (3) - 1 freq
taiversome (3) - 2 freq
unhertsome (3) - 2 freq
aesome (3) - 7 freq
winnersome (3) - 1 freq
ingerson (3) - 1 freq
scarsome (4) - 1 freq
anhere (4) - 1 freq
hangers (4) - 1 freq
rangers (4) - 55 freq
owercome (4) - 22 freq
angersome (0) - 1 freq
langersome (2) - 1 freq
langersom (3) - 1 freq
ingerson (4) - 1 freq
attersome (4) - 1 freq
taiversome (5) - 2 freq
canglesome (5) - 1 freq
unhertsome (5) - 2 freq
wunnersome (5) - 8 freq
winnersome (5) - 1 freq
gruesome (5) - 17 freq
angerow (5) - 1 freq
anderson (5) - 180 freq
fowersome (5) - 2 freq
langsome (5) - 8 freq
faersome (5) - 5 freq
hindersome (5) - 1 freq
timorsome (6) - 13 freq
anger (6) - 73 freq
angriest (6) - 2 freq
virrsome (6) - 6 freq
anters (6) - 1 freq
angelam (6) - 1 freq
iresome (6) - 1 freq
ungroomed (6) - 1 freq
SoundEx code - A526
answer - 444 freq
answert - 158 freq
angry - 84 freq
angrily - 19 freq
answerin - 21 freq
ainswert - 1 freq
answers - 74 freq
answered - 116 freq
anchor - 28 freq
angert - 16 freq
angriest - 2 freq
anger - 73 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 - ANJRSM
angersome - 1 freq
ANGERSOME
Time to execute Levenshtein function - 0.232680 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 - 0.589598 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 - 0.062764 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 - 0.037326 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 - 0.000925 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.