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 otel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
otel (0) - 1 freq
tel (1) - 47 freq
hotel (1) - 99 freq
hovel (2) - 4 freq
oral (2) - 23 freq
steh (2) - 1 freq
stelt (2) - 2 freq
notes (2) - 117 freq
htew (2) - 1 freq
itvel (2) - 1 freq
feel (2) - 1303 freq
teu (2) - 29 freq
steg (2) - 1 freq
tql (2) - 1 freq
ayel (2) - 2 freq
kteu (2) - 2 freq
hootel (2) - 3 freq
iel (2) - 1 freq
te (2) - 1570 freq
stei (2) - 6 freq
pte (2) - 4 freq
ot (2) - 17 freq
oe (2) - 13 freq
reel (2) - 44 freq
dotes (2) - 1 freq
otel (0) - 1 freq
tel (1) - 47 freq
teal (2) - 2 freq
touel (2) - 1 freq
etl (2) - 1 freq
atal (2) - 2 freq
tl (2) - 9 freq
atl (2) - 2 freq
teil (2) - 4 freq
atil (2) - 17 freq
tal (2) - 6 freq
tooel (2) - 2 freq
til (2) - 1722 freq
tul (2) - 1 freq
tael (2) - 6 freq
tele (2) - 32 freq
hotel (2) - 99 freq
sel (3) - 75 freq
'til (3) - 15 freq
telc (3) - 1 freq
taal (3) - 7 freq
abel (3) - 7 freq
kael (3) - 5 freq
vtl (3) - 1 freq
tyle (3) - 1 freq
SoundEx code - O340
o'toole - 1 freq
oot-lea - 1 freq
oot-lay - 1 freq
othello - 1 freq
ootwale - 3 freq
ootlay - 1 freq
outwale - 3 freq
outlaw - 2 freq
otel - 1 freq
oddly - 1 freq
MetaPhone code - OTL
o'toole - 1 freq
oot-lea - 1 freq
oot-lay - 1 freq
ootlay - 1 freq
outlaw - 2 freq
otel - 1 freq
oddly - 1 freq
OTEL
Time to execute Levenshtein function - 0.226560 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 - 0.355513 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 - 0.055979 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 - 0.043773 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 - 0.001303 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.