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 tenenent in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tenenent (0) - 1 freq
tennent (1) - 2 freq
tenement (1) - 21 freq
tenements (2) - 20 freq
ternent (2) - 1 freq
tenent (2) - 2 freq
tennents (2) - 6 freq
referent (3) - 3 freq
tenpenny (3) - 1 freq
emerent (3) - 1 freq
tenner (3) - 25 freq
teeden (3) - 1 freq
keneen (3) - 2 freq
dependent (3) - 5 freq
kennen (3) - 2 freq
pennents (3) - 1 freq
hereanent (3) - 1 freq
defendent (3) - 1 freq
keenest (3) - 1 freq
seelent (3) - 25 freq
lenient (3) - 2 freq
kennelt (3) - 1 freq
teletext (3) - 1 freq
jennet (3) - 94 freq
eenocent (3) - 2 freq
tenenent (0) - 1 freq
tennent (1) - 2 freq
tenement (2) - 21 freq
tennents (3) - 6 freq
tenent (3) - 2 freq
ternent (3) - 1 freq
tennants (4) - 1 freq
tenant (4) - 14 freq
atonement (4) - 1 freq
pennant (4) - 1 freq
tranent (4) - 28 freq
tenements (4) - 20 freq
teen't (5) - 1 freq
forenent (5) - 68 freq
rennen (5) - 2 freq
tenners (5) - 4 freq
tenentis (5) - 1 freq
kennet (5) - 1 freq
bennett (5) - 6 freq
itinerant (5) - 1 freq
tannin (5) - 12 freq
tanning (5) - 3 freq
sentient (5) - 1 freq
tennent's (5) - 6 freq
entent (5) - 1 freq
SoundEx code - T555
tenement - 21 freq
tenements - 20 freq
tenenent - 1 freq
tinamint - 1 freq
MetaPhone code - TNNNT
tenenent - 1 freq
TENENENT
Time to execute Levenshtein function - 0.216933 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 - 0.396627 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 - 0.027331 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 - 0.038360 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 - 0.000912 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.