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 grumph in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
grumph (0) - 15 freq
gumph (1) - 1 freq
grumpy (1) - 9 freq
grump (1) - 3 freq
frumpy (2) - 1 freq
gruoch (2) - 1 freq
gruppt (2) - 10 freq
grumphie (2) - 367 freq
gruppy (2) - 1 freq
grumpyo (2) - 1 freq
grupp (2) - 2 freq
rump (2) - 10 freq
triumph (2) - 17 freq
grulsh (2) - 1 freq
grunch (2) - 1 freq
grumpie (2) - 1 freq
grush (2) - 1 freq
grampa (2) - 8 freq
sumph (2) - 21 freq
grumly (2) - 1 freq
humph (2) - 14 freq
krummph (2) - 3 freq
grumphed (2) - 8 freq
grumfy (2) - 1 freq
bumph (2) - 3 freq
grumph (0) - 15 freq
grumphie (2) - 367 freq
grump (2) - 3 freq
grumpy (2) - 9 freq
gumph (2) - 1 freq
grumphed (3) - 8 freq
grumpie (3) - 1 freq
grampa (3) - 8 freq
graph (3) - 4 freq
triumph (3) - 17 freq
grumphin (3) - 2 freq
grumpyo (3) - 1 freq
grup (4) - 52 freq
grurh (4) - 1 freq
trump (4) - 74 freq
gump (4) - 1 freq
gruip (4) - 1 freq
trumps (4) - 8 freq
frump (4) - 1 freq
grupt (4) - 2 freq
grumpbhie (4) - 1 freq
grumphie' (4) - 2 freq
grumpian (4) - 4 freq
grumphies (4) - 14 freq
grampus (4) - 1 freq
SoundEx code - G651
granfaithers - 1 freq
granfaither - 38 freq
grumphie - 367 freq
grown-up - 9 freq
granbairns - 11 freq
growen-up - 7 freq
growen-ups - 22 freq
'growen-ups - 1 freq
grumble - 9 freq
growin-up - 1 freq
grumph - 15 freq
ggrumphie - 1 freq
'grumphie' - 1 freq
grumphies - 14 freq
grumphie-bairn - 2 freq
graunparent's - 1 freq
grumfies - 2 freq
grumfie - 1 freq
grewn-up - 1 freq
grampian - 11 freq
grumblit - 1 freq
graunbairn - 4 freq
graunfaither - 6 freq
granflaith - 2 freq
grumphie's - 20 freq
girnie-faced - 1 freq
grumphed - 8 freq
grimfaced - 1 freq
grumbelt - 1 freq
grumpy - 9 freq
grampa - 8 freq
grumblin - 1 freq
grown-ups - 12 freq
grim-faced - 2 freq
grampus - 1 freq
grumpily - 1 freq
grumbles - 2 freq
grumphiel' - 1 freq
grumphie' - 2 freq
grumpbhie - 1 freq
grumphie''s - 1 freq
grumpie - 1 freq
grumbled - 2 freq
grienie-bloo - 1 freq
groun-up - 1 freq
grump - 3 freq
gruein-blate - 1 freq
green-bay - 1 freq
greenflees - 3 freq
greenwife - 1 freq
grumphin - 2 freq
grumphieman - 11 freq
grumphiehoose - 3 freq
greeny-broun - 1 freq
granfather - 1 freq
grampians - 2 freq
granfaither's - 3 freq
granfither - 1 freq
greenfield's - 2 freq
green-faced - 1 freq
grampa's - 2 freq
grumphie-sty - 1 freq
granny-wifey - 1 freq
granpa - 1 freq
grönivoe - 1 freq
greenpeace - 1 freq
greenfly - 2 freq
greenflees' - 1 freq
greenfield - 2 freq
granpaurent - 5 freq
growne-ups - 1 freq
€˜grumpy - 1 freq
greenbank - 1 freq
greenbanks - 10 freq
grenbanks - 1 freq
grumfy - 1 freq
grownups - 1 freq
grampianpolice - 1 freq
granpaw - 1 freq
gerryinaberdeen - 28 freq
greenfinch - 1 freq
grumpyo - 1 freq
grumpian - 4 freq
graemepercy - 2 freq
grumpyhatlady - 2 freq
grumpygoth - 1 freq
MetaPhone code - KRMF
grumphie - 367 freq
krummph - 3 freq
grumph - 15 freq
ggrumphie - 1 freq
'grumphie' - 1 freq
grumfie - 1 freq
grumphie' - 2 freq
grumfy - 1 freq
GRUMPH
Time to execute Levenshtein function - 0.187651 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 - 0.322485 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 - 0.027494 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 - 0.037179 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 - 0.000864 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.