A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to tellin-aff in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tellin-aff (0) - 1 freq
tellins (4) - 3 freq
weel-aff (4) - 28 freq
tirl-aff (4) - 1 freq
tellin' (4) - 5 freq
rin-aff (4) - 1 freq
ill-aff (4) - 6 freq
tellingly (4) - 1 freq
seal'd-aff (4) - 1 freq
tellin’ (4) - 1 freq
bealin-daft (4) - 1 freq
telling (4) - 78 freq
sealt-aff (4) - 1 freq
yin-aff (4) - 1 freq
tellin (4) - 603 freq
tellies (5) - 5 freq
wellington (5) - 9 freq
dellin (5) - 5 freq
fellin (5) - 3 freq
beleiff (5) - 1 freq
telltale (5) - 2 freq
terminal (5) - 11 freq
tap-aff (5) - 1 freq
pollinate (5) - 1 freq
blairdaff (5) - 1 freq
tellin-aff (0) - 1 freq
ill-aff (6) - 6 freq
tirl-aff (6) - 1 freq
tellin’ (7) - 1 freq
tellin (7) - 603 freq
telling (7) - 78 freq
sealt-aff (7) - 1 freq
seal'd-aff (7) - 1 freq
yin-aff (7) - 1 freq
tellins (7) - 3 freq
tellingly (7) - 1 freq
tellin' (7) - 5 freq
weel-aff (7) - 28 freq
rin-aff (7) - 1 freq
tap-aff (8) - 1 freq
talkin-tae (8) - 1 freq
tillin (8) - 3 freq
leader-aff (8) - 2 freq
tellen (8) - 3 freq
tell-tale (8) - 2 freq
tellan (8) - 13 freq
sign-aff (8) - 1 freq
staun-aff (8) - 2 freq
wan-aff (8) - 1 freq
tilling (8) - 1 freq
SoundEx code - T451
tellin-aff - 1 freq
thelonefifer - 1 freq
MetaPhone code - TLNF
tellin-aff - 1 freq
TELLIN-AFF
Time to execute Levenshtein function - 0.214184 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 - 0.375485 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 - 0.027743 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 - 0.038605 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 - 0.004269 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.