A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to israelite in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
israelite (0) - 1 freq
israelites (1) - 1 freq
israeli (2) - 2 freq
israelfa (3) - 1 freq
israel's (3) - 2 freq
raelitie (3) - 2 freq
israel (3) - 45 freq
israel' (3) - 1 freq
raelity (3) - 1 freq
raelie (3) - 3 freq
raelise (3) - 4 freq
saelike (3) - 3 freq
bekalite (4) - 1 freq
recite (4) - 9 freq
swallit (4) - 2 freq
starlit (4) - 1 freq
scailit (4) - 2 freq
orra-like (4) - 1 freq
delite (4) - 4 freq
saetit (4) - 1 freq
relate (4) - 18 freq
crawlie (4) - 2 freq
isolate (4) - 8 freq
sklite (4) - 1 freq
snawline (4) - 1 freq
israelite (0) - 1 freq
israelites (2) - 1 freq
israeli (3) - 2 freq
israel' (4) - 1 freq
raelity (4) - 1 freq
israel (4) - 45 freq
raelitie (4) - 2 freq
israelfa (4) - 1 freq
morality (5) - 8 freq
skailit (5) - 1 freq
sklite (5) - 1 freq
isolate (5) - 8 freq
salute (5) - 19 freq
slite (5) - 4 freq
relate (5) - 18 freq
sailit (5) - 10 freq
dreelit (5) - 1 freq
snarlit (5) - 1 freq
fraility (5) - 1 freq
saulit (5) - 1 freq
escalate (5) - 3 freq
starlit (5) - 1 freq
scailit (5) - 2 freq
israel's (5) - 2 freq
raelise (5) - 4 freq
SoundEx code - I264
israel - 45 freq
israel's - 2 freq
israelite - 1 freq
israel' - 1 freq
israelites - 1 freq
israeli - 2 freq
israelfa - 1 freq
MetaPhone code - ISRLT
israelite - 1 freq
ISRAELITE
Time to execute Levenshtein function - 0.695814 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 - 0.695554 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 - 0.037559 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 - 0.071342 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 - 0.000876 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.