A Corpus of 21st Century Scots Texts

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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 problems in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
problems (0) - 89 freq
problem (1) - 258 freq
problem's (1) - 2 freq
problims (1) - 1 freq
problemo (1) - 1 freq
problemo's (2) - 1 freq
probes (2) - 1 freq
problim (2) - 10 freq
problee (2) - 1 freq
proablem (2) - 4 freq
'problem (2) - 1 freq
proclemis (2) - 1 freq
progres (3) - 1 freq
probly (3) - 40 freq
rollers (3) - 5 freq
proxies (3) - 1 freq
roles (3) - 12 freq
people's (3) - 12 freq
profiles (3) - 8 freq
progess (3) - 1 freq
nobles (3) - 7 freq
jobless (3) - 1 freq
poyems (3) - 9 freq
rowlers (3) - 3 freq
troubles (3) - 32 freq
problems (0) - 89 freq
problims (1) - 1 freq
problem's (2) - 2 freq
problemo (2) - 1 freq
problem (2) - 258 freq
proablem (3) - 4 freq
proclemis (3) - 1 freq
problemo's (3) - 1 freq
problim (3) - 10 freq
prelims (4) - 2 freq
parables (4) - 9 freq
proclaims (4) - 4 freq
'problem (4) - 1 freq
problee (4) - 1 freq
parable's (4) - 1 freq
probes (4) - 1 freq
troubles (5) - 32 freq
trouble's (5) - 1 freq
emblems (5) - 1 freq
probs (5) - 8 freq
peebles (5) - 8 freq
paibles (5) - 1 freq
roubles (5) - 1 freq
probly (5) - 40 freq
programs (5) - 13 freq
SoundEx code - P614
powerful - 20 freq
purple - 98 freq
problem - 258 freq
parabola - 2 freq
'problem - 1 freq
problems - 89 freq
prof'll - 3 freq
proablem - 4 freq
problème - 2 freq
profile - 52 freq
privileged - 13 freq
problem's - 2 freq
prevailed - 6 freq
perplexed - 9 freq
profiles - 8 freq
problim - 10 freq
prevail - 10 freq
privilege - 15 freq
purple's - 2 freq
purple-strippit - 1 freq
preevilige - 1 freq
preevelige - 1 freq
preevilege - 2 freq
preeveilige - 1 freq
pouerful - 3 freq
proably - 1 freq
probly - 40 freq
privileges - 3 freq
parable - 54 freq
parables - 9 freq
pooerful - 10 freq
parable's - 1 freq
propel - 2 freq
prevele - 1 freq
problims - 1 freq
powerfuul - 1 freq
pieirieblakk - 1 freq
purples - 1 freq
purpie-wulk - 1 freq
problematic - 3 freq
problemreddin - 1 freq
€œproblem - 2 freq
prevailin - 2 freq
prob'ly - 1 freq
priveliged - 1 freq
purfled - 1 freq
prevalence - 1 freq
propale - 1 freq
profeel - 5 freq
profeels - 1 freq
preivilege - 2 freq
profligate - 1 freq
purple-pussed - 1 freq
propeller - 1 freq
powerfully - 1 freq
purpley - 1 freq
purple-green - 1 freq
problemo - 1 freq
propellin - 1 freq
propellt - 1 freq
problee - 1 freq
probulary - 2 freq
prevelent - 1 freq
problemo's - 1 freq
prayfully - 6 freq
prayeefully - 1 freq
privilaged - 1 freq
prievilage - 1 freq
profile” - 1 freq
prevalent - 1 freq
powerfull - 1 freq
parboiled - 1 freq
MetaPhone code - PRBLMS
problems - 89 freq
problem's - 2 freq
problims - 1 freq
problemo's - 1 freq
PROBLEMS
Time to execute Levenshtein function - 0.192376 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 - 0.359613 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 - 0.028312 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 - 0.036993 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 - 0.000849 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.