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 newcomer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
newcomer (0) - 5 freq
newcomers (1) - 6 freq
newcome's (2) - 1 freq
welcomer (2) - 1 freq
becomes (3) - 42 freq
recover (3) - 7 freq
owercomer (3) - 1 freq
become (3) - 192 freq
oercome (3) - 1 freq
incomer (3) - 9 freq
newer (3) - 7 freq
welcome (3) - 167 freq
welcome' (3) - 1 freq
welcomet (3) - 1 freq
welcomes (3) - 3 freq
comer (3) - 4 freq
newsmen (3) - 2 freq
welcomed (3) - 15 freq
bedcover (3) - 1 freq
newspaper (4) - 62 freq
nescafe (4) - 1 freq
recowert (4) - 1 freq
upcome (4) - 2 freq
becomin (4) - 45 freq
niwer (4) - 28 freq
newcomer (0) - 5 freq
newcomers (2) - 6 freq
incomer (4) - 9 freq
welcomer (4) - 1 freq
newcome's (4) - 1 freq
comer (5) - 4 freq
newer (5) - 7 freq
unweicome (5) - 1 freq
newsmen (5) - 2 freq
owercomer (5) - 1 freq
newvir (6) - 6 freq
nummer (6) - 336 freq
unwelcome (6) - 7 freq
income (6) - 15 freq
nicker (6) - 1 freq
oncome (6) - 40 freq
naewher (6) - 4 freq
swimmer (6) - 3 freq
niwver (6) - 6 freq
in-comers (6) - 1 freq
newmade (6) - 1 freq
nectar (6) - 9 freq
pawcher (6) - 1 freq
neccesar (6) - 1 freq
incomers (6) - 13 freq
SoundEx code - N256
newcomer - 5 freq
nicgumaraid - 2 freq
newcomers - 6 freq
nsmrvx - 1 freq
nicmharcuis - 1 freq
nznrnqe - 1 freq
naswinnerton - 3 freq
nyjqsmr - 1 freq
MetaPhone code - NKMR
newcomer - 5 freq
knockmair - 1 freq
NEWCOMER
Time to execute Levenshtein function - 0.198019 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 - 0.354893 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 - 0.028486 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 - 0.038201 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 - 0.000880 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.