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 appyntments in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
appyntments (0) - 2 freq
appyntment (1) - 5 freq
appintmints (2) - 2 freq
appointments (2) - 5 freq
appintment (2) - 1 freq
apairtments (3) - 2 freq
eyntments (3) - 1 freq
appointment (3) - 35 freq
apartments (3) - 2 freq
appintmint (3) - 8 freq
appyntit (4) - 15 freq
pyements (4) - 1 freq
ointments (4) - 1 freq
appiteits (4) - 1 freq
allotments (4) - 1 freq
appairtment (4) - 1 freq
apairtment (4) - 3 freq
peyments (4) - 5 freq
payments (4) - 3 freq
adornments (4) - 1 freq
appynts (4) - 1 freq
disappyntment (4) - 9 freq
amenments (4) - 1 freq
apartment's (4) - 1 freq
appointmint (4) - 1 freq
appyntments (0) - 2 freq
appintmints (2) - 2 freq
appointments (2) - 5 freq
appyntment (2) - 5 freq
appintment (3) - 1 freq
appointment (4) - 35 freq
appintmint (4) - 8 freq
appointmint (5) - 1 freq
eyntments (5) - 1 freq
apartments (5) - 2 freq
apairtments (5) - 2 freq
departments (6) - 1 freq
opponents (6) - 9 freq
appairtment (6) - 1 freq
intments (6) - 1 freq
ointments (6) - 1 freq
apartment (7) - 6 freq
appyntin (7) - 1 freq
anointment (7) - 1 freq
pyements (7) - 1 freq
appyntit (7) - 15 freq
approximants (7) - 1 freq
disappointments (7) - 1 freq
allotments (7) - 1 freq
sentiments (7) - 8 freq
SoundEx code - A153
appointments - 5 freq
abandoned - 26 freq
appointed - 8 freq
apent - 29 freq
aff-haund - 2 freq
apened - 6 freq
abandon - 12 freq
appent - 7 freq
append - 2 freq
aipened - 4 freq
appintit - 1 freq
abundance - 9 freq
appointment - 35 freq
avantage - 1 freq
appendages - 1 freq
appyntment - 5 freq
appyntit - 15 freq
appointit - 4 freq
appintment - 1 freq
abeen't - 1 freq
aventur - 3 freq
appinted - 2 freq
appened - 5 freq
appointin - 1 freq
apen't - 3 freq
appintmints - 2 freq
appintmint - 8 freq
appendage - 1 freq
appynt - 4 freq
appyntin - 1 freq
appointees - 1 freq
affinitie - 1 freq
afentimes - 1 freq
abound - 2 freq
appointing - 2 freq
appendix - 13 freq
affinity - 4 freq
affhaunditly - 3 freq
avantages - 1 freq
aventurs - 2 freq
ayebaundsergeant - 1 freq
apen-mou'd - 1 freq
affendurs - 1 freq
appointmint - 1 freq
abeundi - 1 freq
abandone - 1 freq
aipen't - 1 freq
aipent - 1 freq
avaunt - 1 freq
abyne-tarlan - 1 freq
abundant - 4 freq
abandonment - 2 freq
aventurers - 2 freq
apenit - 1 freq
appyntments - 2 freq
aboundit - 1 freq
€˜append - 1 freq
affeenity - 1 freq
avant - 1 freq
appendices - 1 freq
appynts - 1 freq
aboon't - 1 freq
abandont - 5 freq
abandonin - 2 freq
affinities - 3 freq
aboundantlie - 1 freq
avontuur - 1 freq
appoint - 2 freq
MetaPhone code - APNTMNTS
appointments - 5 freq
appintmints - 2 freq
appyntments - 2 freq
APPYNTMENTS
Time to execute Levenshtein function - 0.275973 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 - 0.445631 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 - 0.028653 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 - 0.037859 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 - 0.000932 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.