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 hinnerlie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hinnerlie (0) - 10 freq
innerlie (1) - 7 freq
ainerlie (2) - 2 freq
hinnersin (2) - 4 freq
hinnerly (2) - 1 freq
hinnerin (2) - 2 freq
sinnerie (2) - 1 freq
unnerlie (2) - 1 freq
hinnereine (2) - 1 freq
hinnerein (2) - 6 freq
finerie (3) - 2 freq
unnerline (3) - 2 freq
sickerlie (3) - 1 freq
dinnertime (3) - 3 freq
finngerie (3) - 1 freq
binnerin (3) - 1 freq
hinnerenn (3) - 1 freq
hinnereyn (3) - 8 freq
tenderlie (3) - 1 freq
hinderly (3) - 1 freq
hinner-en (3) - 25 freq
litherlie (3) - 1 freq
€™anerlie (3) - 1 freq
hinner (3) - 46 freq
hinneren (3) - 44 freq
hinnerlie (0) - 10 freq
innerlie (2) - 7 freq
hinnerly (2) - 1 freq
hinnereine (3) - 1 freq
hinnerein (3) - 6 freq
unnerlie (3) - 1 freq
hinnerin (3) - 2 freq
hinneren (4) - 44 freq
hinner (4) - 46 freq
hinneryen (4) - 1 freq
hennerin (4) - 1 freq
hinners (4) - 5 freq
hinderly (4) - 1 freq
hinnert (4) - 3 freq
innerly (4) - 2 freq
hinnered (4) - 1 freq
hinnereyn (4) - 8 freq
hinnersin (4) - 4 freq
sinnerie (4) - 1 freq
ainerlie (4) - 2 freq
hunnel (5) - 4 freq
hunnert (5) - 14 freq
henner (5) - 3 freq
hunnle (5) - 2 freq
mannerly (5) - 1 freq
SoundEx code - H564
hinnerlie - 10 freq
hinnerly - 1 freq
hame-rule - 8 freq
MetaPhone code - HNRL
hinnerlie - 10 freq
hinnerly - 1 freq
HINNERLIE
Time to execute Levenshtein function - 0.236930 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 - 0.368604 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 - 0.027417 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 - 0.037107 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 - 0.000886 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.