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 poplars in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
poplars (0) - 2 freq
poplar (1) - 1 freq
pedlars (2) - 1 freq
polar (2) - 24 freq
popular (2) - 100 freq
powlar (2) - 1 freq
poppers (2) - 2 freq
collars (2) - 8 freq
polaris (2) - 3 freq
dollars (2) - 7 freq
pillars (2) - 12 freq
lowlans (3) - 1 freq
spars (3) - 6 freq
pools (3) - 19 freq
papers (3) - 137 freq
poopbags (3) - 1 freq
peoples (3) - 13 freq
pillaes (3) - 7 freq
people's (3) - 14 freq
collart (3) - 1 freq
plags (3) - 4 freq
jolla's (3) - 1 freq
spears (3) - 28 freq
'plays (3) - 1 freq
powers (3) - 16 freq
poplars (0) - 2 freq
poplar (2) - 1 freq
polaris (3) - 3 freq
poppers (3) - 2 freq
popular (3) - 100 freq
pedlars (3) - 1 freq
pillars (3) - 12 freq
people's (4) - 14 freq
popularly (4) - 1 freq
splers (4) - 1 freq
pillers (4) - 2 freq
pipers (4) - 10 freq
peelers (4) - 7 freq
peppers (4) - 7 freq
populous (4) - 1 freq
peoples (4) - 13 freq
spoilers (4) - 2 freq
dollars (4) - 7 freq
collars (4) - 8 freq
powlar (4) - 1 freq
polar (4) - 24 freq
appears (4) - 84 freq
papers (4) - 137 freq
players (5) - 152 freq
potless (5) - 1 freq
SoundEx code - P146
popular - 100 freq
poplar - 1 freq
poplars - 2 freq
popularly - 1 freq
popularity - 14 freq
popularitie - 1 freq
popularisation - 1 freq
popularised - 1 freq
‘popular’ - 1 freq
MetaPhone code - PPLRS
poplars - 2 freq
POPLARS
Time to execute Levenshtein function - 0.589981 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 - 0.746091 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 - 0.053596 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 - 0.048888 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 - 0.000992 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.