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 five-pynt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
five-pynt (0) - 1 freq
five-fit (3) - 1 freq
five-penny (3) - 1 freq
pinpynt (4) - 1 freq
flashpynt (4) - 1 freq
five-mile (4) - 1 freq
divergent (4) - 1 freq
face-paint (4) - 2 freq
hip-jynt (4) - 2 freq
fient (4) - 6 freq
five-quid (4) - 1 freq
fee-pyin (4) - 1 freq
fivepenny (4) - 1 freq
disappynt (4) - 5 freq
poker-pynt (4) - 1 freq
five-minute (4) - 3 freq
fit-dunt (4) - 1 freq
five-ack (4) - 1 freq
five-star (4) - 1 freq
fivert (4) - 2 freq
five-inch (4) - 1 freq
divent (4) - 1 freq
powerpynt (4) - 1 freq
five-week (4) - 1 freq
wide-kent (4) - 1 freq
five-pynt (0) - 1 freq
five-penny (4) - 1 freq
five-minute (5) - 3 freq
face-paint (5) - 2 freq
five-fit (5) - 1 freq
fivepenny (6) - 1 freq
fee-pyin (6) - 1 freq
fit-dunt (6) - 1 freq
powerpynt (7) - 1 freq
wide-kent (7) - 1 freq
life-rent (7) - 1 freq
five-o (7) - 1 freq
five-year (7) - 1 freq
flippant (7) - 2 freq
faur-kent (7) - 8 freq
viewpoint (7) - 6 freq
pin-point (7) - 1 freq
fee-peyin (7) - 1 freq
hauf-pint (7) - 1 freq
divent (7) - 1 freq
five-week (7) - 1 freq
divergent (7) - 1 freq
five-mile (7) - 1 freq
five-inch (7) - 1 freq
hip-jynt (7) - 2 freq
SoundEx code - F115
five-penny - 1 freq
fivepenny - 1 freq
five-pynt - 1 freq
MetaPhone code - FFPNT
five-pynt - 1 freq
FIVE-PYNT
Time to execute Levenshtein function - 0.197284 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 - 0.408152 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 - 0.029821 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 - 0.043479 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 - 0.000950 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.