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 handier in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
handier (0) - 1 freq
sandier (1) - 2 freq
handie (1) - 3 freq
handler (1) - 1 freq
hanker (2) - 3 freq
handel (2) - 1 freq
handlers (2) - 1 freq
rander (2) - 2 freq
hankie (2) - 15 freq
handies' (2) - 1 freq
hender (2) - 1 freq
hairier (2) - 2 freq
bandied (2) - 1 freq
haddies (2) - 2 freq
handis (2) - 1 freq
haddie (2) - 9 freq
dandie (2) - 1 freq
hannie (2) - 3 freq
hannies (2) - 3 freq
chandler (2) - 2 freq
hindies (2) - 1 freq
gander (2) - 12 freq
handin (2) - 15 freq
handily (2) - 1 freq
wander (2) - 36 freq
handier (0) - 1 freq
sandier (2) - 2 freq
hunder (2) - 96 freq
hender (2) - 1 freq
hinder (2) - 20 freq
handler (2) - 1 freq
handie (2) - 3 freq
hanover (3) - 5 freq
zander (3) - 43 freq
windier (3) - 1 freq
haundie (3) - 1 freq
pander (3) - 1 freq
dander (3) - 61 freq
lander (3) - 13 freq
handle (3) - 36 freq
handee (3) - 4 freq
sander (3) - 1 freq
handkie (3) - 1 freq
hundyr (3) - 1 freq
hendrie (3) - 1 freq
handce (3) - 1 freq
hanger (3) - 3 freq
handen (3) - 1 freq
handers (3) - 1 freq
handed (3) - 49 freq
SoundEx code - H536
handrail - 1 freq
hunter's - 10 freq
hendry - 6 freq
henderson's - 8 freq
hundred - 30 freq
hunder - 96 freq
hunderd - 1 freq
handiwork - 4 freq
hunders - 25 freq
hum-drum-like - 1 freq
hunters - 16 freq
haundiwark - 1 freq
hinder - 20 freq
'hundred - 1 freq
hunter - 48 freq
humdrum - 3 freq
hindrance - 5 freq
hender - 1 freq
hinther - 1 freq
honther - 1 freq
hundreds - 10 freq
henderson - 47 freq
haundiwork - 1 freq
hand-rearit - 1 freq
hinterlands - 1 freq
hunterston - 2 freq
han-dred - 1 freq
hendry's - 2 freq
hundyr - 1 freq
haandwritin - 1 freq
handwriting - 1 freq
hindered - 3 freq
hame-trowe - 1 freq
haundiwirk - 1 freq
haundwritin - 1 freq
haundrail - 1 freq
hendrix - 2 freq
haundywurk - 1 freq
handwritan - 1 freq
hunter-gadderers - 2 freq
hundert - 7 freq
hame-drachtit - 1 freq
hendrie - 1 freq
hindersome - 1 freq
haund-wrutten - 1 freq
hundreth - 3 freq
hinderance - 1 freq
hundredth - 2 freq
henderson'll - 1 freq
haund-wrocht - 1 freq
haunders - 1 freq
hamtramck - 1 freq
hame-trow - 3 freq
hinderly - 1 freq
hunter-gaitherin - 1 freq
hindermaist - 2 freq
hinders - 2 freq
hunnder - 1 freq
hundret - 2 freq
haundower - 1 freq
hinderend - 1 freq
huntherwechts - 1 freq
handiwark - 2 freq
hender-them-na - 1 freq
handrails - 1 freq
haund-drawn - 1 freq
handwritings - 1 freq
handier - 1 freq
handers - 1 freq
‘hendersons’ - 1 freq
‘henderson’ - 1 freq
hame-drauchtit - 1 freq
hunderts - 1 freq
hendron - 2 freq
hunterfieldv - 5 freq
MetaPhone code - HNTR
hendry - 6 freq
hunder - 96 freq
hinder - 20 freq
hunter - 48 freq
hender - 1 freq
hundyr - 1 freq
hendrie - 1 freq
hunnder - 1 freq
handier - 1 freq
HANDIER
Time to execute Levenshtein function - 0.177283 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 - 0.362631 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 - 0.030080 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 - 0.041605 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 - 0.000877 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.