A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to angry in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
angry (0) - 79 freq
hangry (1) - 3 freq
angry' (1) - 1 freq
angrya (1) - 3 freq
annay (2) - 4 freq
andriy (2) - 1 freq
enry (2) - 1 freq
hungry (2) - 97 freq
antsy (2) - 1 freq
intry (2) - 3 freq
avery (2) - 2 freq
anddy (2) - 1 freq
anely (2) - 323 freq
dangly (2) - 1 freq
engy (2) - 2 freq
ang (2) - 8 freq
aner (2) - 2 freq
angel (2) - 113 freq
pantry (2) - 7 freq
angst (2) - 3 freq
andro (2) - 4 freq
anurr (2) - 4 freq
ang'r (2) - 2 freq
anny (2) - 1 freq
aumry (2) - 1 freq
angry (0) - 79 freq
angrya (1) - 3 freq
iangrey (2) - 1 freq
anger (2) - 68 freq
angry' (2) - 1 freq
hangry (2) - 3 freq
agri (3) - 1 freq
andra (3) - 116 freq
ange (3) - 1 freq
aggro (3) - 3 freq
ndry (3) - 2 freq
anar (3) - 1 freq
ingy (3) - 14 freq
ingly (3) - 1 freq
anr (3) - 1 freq
angrily (3) - 18 freq
angim (3) - 1 freq
nary (3) - 2 freq
entry (3) - 61 freq
angle (3) - 21 freq
ungaro (3) - 2 freq
ainger (3) - 3 freq
angus (3) - 117 freq
angirt (3) - 3 freq
angie (3) - 36 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 - ANKR
angry - 79 freq
ang'r - 2 freq
ang'rie - 7 freq
angry' - 1 freq
ANGRY
Time to execute Levenshtein function - 0.205216 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 - 0.343070 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 - 0.028141 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 - 0.038006 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 - 0.000866 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.