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 jameela in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
jameela (0) - 2 freq
janela (2) - 5 freq
jamesca (2) - 1 freq
jamieca (2) - 3 freq
pamela (2) - 1 freq
jangelt (3) - 1 freq
camels (3) - 4 freq
jameson (3) - 2 freq
hamely (3) - 45 freq
fameeliar (3) - 19 freq
rammel (3) - 1 freq
janila (3) - 1 freq
mela (3) - 3 freq
james's (3) - 3 freq
angela (3) - 46 freq
camera (3) - 55 freq
james (3) - 283 freq
camel (3) - 7 freq
hamelt (3) - 72 freq
jamma (3) - 1 freq
dumela (3) - 1 freq
jeelt (3) - 16 freq
amoeba (3) - 1 freq
jamaica (3) - 24 freq
eela (3) - 3 freq
jameela (0) - 2 freq
jamieca (3) - 3 freq
pamela (3) - 1 freq
janela (3) - 5 freq
jamma (4) - 1 freq
samuel (4) - 22 freq
camel (4) - 7 freq
dumela (4) - 1 freq
james (4) - 283 freq
meel (4) - 3 freq
jame (4) - 3 freq
jamaica (4) - 24 freq
amelia (4) - 1 freq
jamesie (4) - 2 freq
mela (4) - 3 freq
jamie (4) - 118 freq
hamely (4) - 45 freq
jamesca (4) - 1 freq
jeel (4) - 7 freq
namely (4) - 10 freq
janila (4) - 1 freq
jamesy (4) - 25 freq
jeely (4) - 45 freq
jamb (5) - 2 freq
jmcl (5) - 21 freq
SoundEx code - J540
jummle - 5 freq
jameela - 2 freq
jean'll - 1 freq
jjconeill - 2 freq
janela - 5 freq
janila - 1 freq
MetaPhone code - JML
gemmle - 2 freq
gemmule - 1 freq
gemmel - 1 freq
gemmely - 1 freq
jummle - 5 freq
jameela - 2 freq
JAMEELA
Time to execute Levenshtein function - 0.287709 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 - 0.483501 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 - 0.033713 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 - 0.043613 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 - 0.000971 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.