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 larners in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
larners (0) - 10 freq
learners (1) - 6 freq
lairners (1) - 72 freq
mainers (2) - 2 freq
lairners' (2) - 3 freq
earner (2) - 2 freq
launer (2) - 1 freq
ladders (2) - 7 freq
larbert (2) - 2 freq
loners (2) - 1 freq
dargers (2) - 1 freq
lagers (2) - 2 freq
barbers (2) - 3 freq
learner (2) - 7 freq
lancers (2) - 4 freq
garters (2) - 2 freq
larns (2) - 1 freq
hauners (2) - 6 freq
harness (2) - 14 freq
gauners (2) - 1 freq
larder (2) - 9 freq
barnes (2) - 5 freq
liners (2) - 2 freq
farmers (2) - 4 freq
warner (2) - 1 freq
larners (0) - 10 freq
lairners (1) - 72 freq
learners (1) - 6 freq
larns (3) - 1 freq
learner (3) - 7 freq
coarners (3) - 8 freq
murners (3) - 1 freq
liners (3) - 2 freq
sorners (3) - 2 freq
burners (3) - 7 freq
lairner (3) - 5 freq
lairners' (3) - 3 freq
corners (3) - 36 freq
loners (3) - 1 freq
careers (4) - 12 freq
markers (4) - 6 freq
layers (4) - 20 freq
awners (4) - 3 freq
sanners (4) - 2 freq
hawners (4) - 1 freq
larne (4) - 19 freq
lasers (4) - 2 freq
carers (4) - 11 freq
dauners (4) - 5 freq
larger (4) - 3 freq
SoundEx code - L656
lorimer's - 9 freq
lairners - 72 freq
learner - 7 freq
lorimers - 1 freq
lorimer - 30 freq
learners - 6 freq
larners - 10 freq
lairner - 5 freq
lorrimer - 1 freq
lairners' - 3 freq
MetaPhone code - LRNRS
lairners - 72 freq
learners - 6 freq
larners - 10 freq
lairners' - 3 freq
LARNERS
Time to execute Levenshtein function - 0.209175 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 - 0.568488 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 - 0.027616 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 - 0.071100 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 - 0.000967 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.