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 daith-tree in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
daith-tree (0) - 1 freq
daith-trap (2) - 2 freq
aik-tree (3) - 3 freq
tail-tree (3) - 1 freq
paittren (4) - 1 freq
faithered (4) - 3 freq
dule-tree (4) - 1 freq
fig-tree (4) - 3 freq
'th-three (4) - 1 freq
bath-time (4) - 1 freq
daithlie (4) - 1 freq
gaitheren (4) - 8 freq
fir-tree (4) - 3 freq
nit-trie (4) - 2 freq
lime-tree (4) - 1 freq
faut-free (4) - 2 freq
daither (4) - 1 freq
daith-white (4) - 1 freq
gaitheret (4) - 1 freq
rantletree (4) - 3 freq
daithbed (4) - 3 freq
gaitherer (4) - 4 freq
duty-free (4) - 1 freq
gaithered (4) - 70 freq
gaitherie (4) - 2 freq
daith-tree (0) - 1 freq
daith-trap (3) - 2 freq
tail-tree (5) - 1 freq
'th-three (6) - 1 freq
bath-time (6) - 1 freq
daither (6) - 1 freq
nit-trie (6) - 2 freq
dule-tree (6) - 1 freq
duty-free (6) - 1 freq
aik-tree (6) - 3 freq
twa-tree (7) - 1 freq
aiple-tree (7) - 1 freq
gaitherie (7) - 2 freq
debt-free (7) - 1 freq
dichter (7) - 2 freq
daughter (7) - 44 freq
dauchter (7) - 18 freq
gaitherer (7) - 4 freq
dithery (7) - 1 freq
cash-tray (7) - 1 freq
ash-tray (7) - 1 freq
daithbed (7) - 3 freq
fir-tree (7) - 3 freq
dachter (7) - 2 freq
dither (7) - 2 freq
SoundEx code - D336
daith-trap - 2 freq
daith-tree - 1 freq
do-do-tron-tron - 1 freq
MetaPhone code - T0TR
daith-tree - 1 freq
DAITH-TREE
Time to execute Levenshtein function - 0.245905 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 - 0.484580 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 - 0.029552 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 - 0.038229 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 - 0.001022 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.