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 namely in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
namely (0) - 10 freq
hamely (1) - 45 freq
nately (1) - 2 freq
namesy (1) - 1 freq
nicely (2) - 16 freq
names (2) - 300 freq
name's (2) - 33 freq
ralely (2) - 5 freq
name (2) - 1202 freq
names' (2) - 1 freq
namer (2) - 1 freq
navel (2) - 1 freq
awely (2) - 8 freq
navels (2) - 1 freq
famly (2) - 5 freq
comely (2) - 4 freq
camels (2) - 4 freq
enamel (2) - 5 freq
barely (2) - 96 freq
timely (2) - 4 freq
lakely (2) - 2 freq
lanely (2) - 31 freq
sarely (2) - 1 freq
lately (2) - 57 freq
nairly (2) - 1 freq
namely (0) - 10 freq
namelie (2) - 3 freq
namesy (2) - 1 freq
enamel (2) - 5 freq
hamely (2) - 45 freq
nately (2) - 2 freq
camel (3) - 7 freq
family (3) - 324 freq
pamela (3) - 1 freq
nael (3) - 2 freq
nairly (3) - 1 freq
femely (3) - 1 freq
namby (3) - 1 freq
somely (3) - 1 freq
named (3) - 50 freq
homely (3) - 2 freq
amly (3) - 1 freq
name' (3) - 3 freq
anely (3) - 323 freq
anomaly (3) - 2 freq
comely (3) - 4 freq
famly (3) - 5 freq
name (3) - 1202 freq
anomoly (3) - 1 freq
navel (3) - 1 freq
SoundEx code - N540
nane'll - 2 freq
nimmle - 2 freq
name'll - 3 freq
namely - 10 freq
namelie - 3 freq
nine'll - 1 freq
newmill - 1 freq
MetaPhone code - NML
nimmle - 2 freq
nimble - 1 freq
name'll - 3 freq
namely - 10 freq
namelie - 3 freq
newmill - 1 freq
NAMELY
Time to execute Levenshtein function - 0.196129 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 - 0.342964 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 - 0.027723 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 - 0.040681 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 - 0.000875 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.