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Segments Length Sonority differences Number of lexical items Total frequency of this sequence per million tokens Lowest frequency out of words with this sequence Mean frequency of words with this sequence Highest frequency out of words with this sequence Example words
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s 1 21445 144758 0 7 16418 es, más, vamos, nos, estás ... [More]
n 1 7016 79378 0 11 15660 bien, son, quién, tan, están ... [More]
l 1 946 44331 0 47 18067 él, tal, mal, cuál, genial ... [More]
ɾ 1 3716 50814 0 14 10320 ser, hacer, señor, favor, mejor ... [More]
θ 1 190 3458 0 18 1744 vez, feliz, paz, luz, diez ... [More]
d 1 914 7864 0 9 1352 verdad, usted, ud, ciudad, realidad ... [More]
k 1 91 487 0 5 246 ok, eric, mac, derek, vic ... [More]
kk 2 0 49 519 0 11 212 jack, nick, chuck, rock, rick ... [More]
m 1 139 742 0 5 141 sam, tom, jim, um, william ... [More]
ɾk 2 -3 10 268 0 27 128 york, clark, mark, park, marc ... [More]
nk 2 -2 10 150 0 15 124 frank, think, bank, thank, punk ... [More]
ds 2 1 29 123 0 4 91 uds, robots, leeds, donuts, scouts ... [More]
b 1 46 252 0 5 86 club, bob, jacob, rob, web ... [More]
ʎ 1 61 315 0 5 84 bill, all, marshall, russell, hill ... [More]
nd 2 -2 83 289 0 3 74 and, vincent, kent, grant, bond ... [More]
sd 2 -1 27 156 0 6 71 est, west, just, test, post ... [More]
f 1 16 85 0 5 59 of, chef, prof, olaf, uf ... [More]
x 1 6 61 0 10 58 reloj, aj, puaj, ej, contrarreloj ... [More]
ɾd 2 -3 93 467 0 5 51 robert, richard, lord, howard, edward ... [More]
ff 2 0 12 86 0 7 42 sheriff, jeff, off, puff, cardiff ... [More]
dd 2 0 20 122 0 6 37 matt, scott, todd, beckett, wyatt ... [More]
ɾl 2 0 4 67 6 17 36 carl, karl, pearl, girl ...
dn 2 2 2 31 0 16 31 adn, haydn ...
ss 2 0 31 95 0 3 25 ross, miss, cross, moss, express ... [More]
nɡɡ 3 -2 0 117 232 0 2 22 king, kong, hong, long, young ... [More]
lf 2 -2 8 29 0 4 22 golf, adolf, alf, rudolf, woolf ... [More]
ɡ 1 30 73 0 2 21 big, greg, hugh, blog, ludwig ... [More]
p 1 49 137 0 3 20 joseph, up, chip, philip, pop ... [More]
ln 2 -1 1 19 19 19 19 lincoln ...
ld 2 -3 21 83 0 4 19 harold, walt, donald, roosevelt, ronald ... [More]
ms 2 -1 10 29 0 3 16 williams, adams, brahms, oms, seems ... [More]
dt͡ʃ 2 0 5 19 0 4 15 mitch, sketch, hatch, match, scratch ...
ns 2 -1 34 78 0 2 15 collins, hans, fans, evans, orleans ... [More]
nn 2 0 15 50 0 3 14 quinn, finn, glenn, lynn, johann ... [More]
lp 2 -3 3 19 2 6 14 ralph, help, rudolph ...
ɡd 2 0 6 26 0 4 13 right, night, light, flight, eight ... [More]
lm 2 -1 6 26 0 4 13 malcolm, film, wilhelm, napalm, microfilm ... [More]
t͡ʃ 1 27 64 0 2 11 sándwich, beach, sandwich, reich, much ... [More]
bbs 3 0 1 1 10 10 10 10 gibbs ...
θθ 2 0 1 10 10 10 10 jazz ...
ls 2 -2 10 23 0 2 9 daniels, walsh, vals, emails, pistols ... [More]
lds 3 -3 1 4 11 0 3 8 reynolds, fields, mcdonalds, volts ...
ɾds 3 -3 1 8 19 0 2 8 roberts, edwards, records, shorts, récords ... [More]
ɾld 3 0 -3 1 8 8 8 8 world ...
dk 2 0 1 8 8 8 8 eDk ...
ʎs 2 -2 6 16 0 3 7 hills, wells, trolls, bulls, tells ... [More]
ɾs 2 -2 46 58 0 1 7 rogers, lars, marx, marsh, sanders ... [More]
2 -1 2 7 0 3 7 franz, linz ...
nɡɡs 4 -2 0 1 8 13 0 2 6 hastings, springs, kings, ratings, piercings ... [More]
ps 2 1 13 15 0 1 6 phillips, chips, bíceps, pops, philips ... [More]
ɾns 3 -1 -1 2 6 1 3 6 burns, westerns ...
ɾf 2 -2 3 6 0 2 6 surf, düsseldorf, windsurf ...
ɾɡ 2 -3 14 16 0 1 5 pittsburgh, iceberg, georg, rosenberg, nuremberg ... [More]
2 1 8 10 0 1 5 fritz, ritz, fitz, lodz, biarritz ... [More]
ɾsd 3 -2 -1 2 4 0 2 4 first, bratwurst ...
dds 3 0 1 2 6 2 3 4 massachusetts, watts ...
ɾn 2 -1 8 13 0 2 4 western, stern, horn, turn, fern ... [More]
ɾm 2 -1 3 4 0 1 3 norm, warm, form ...
ks 2 1 13 10 0 1 3 comics, cómics, bistecs, celtics, picnics ... [More]
ndd 3 -2 0 1 3 3 3 3 rembrandt ...
bs 2 1 6 5 0 1 3 clubs, jobs, pubs, webs, esnobs ... [More]
lms 3 -1 -1 2 3 0 1 2 films, helms ...
nt͡ʃ 2 -2 3 3 0 1 2 french, punch, lunch ...
ɾls 3 0 -2 2 2 0 1 2 girls, showgirls ...
ɾdθ 3 -3 1 2 3 0 1 2 schwartz, hertz ...
ɾks 3 -3 1 1 2 2 2 2 marks ...
lk 2 -3 4 7 1 2 2 milk, norfolk, folk, suffolk ...
sds 3 -1 1 1 2 2 2 2 tests ...
nds 3 -2 1 5 3 0 1 2 friends, croissants, points, diamonds, stands ...
ldθ 3 -3 1 1 2 2 2 2 schultz ...
mm 2 0 1 2 2 2 2 grimm ...
bk 2 0 1 2 2 2 2 abc ...
kks 3 0 1 6 3 0 1 2 starbucks, rocks, clicks, shocks, flashbacks ... [More]
mb 2 -2 1 2 2 2 2 lamb ...
r 1 2 3 1 1 2 carr, starr ...
mp 2 -2 4 3 0 1 2 camp, champ, supertramp, stamp ...
ɾss 3 -2 0 1 2 2 2 2 urss ...
ɡɡs 3 0 1 2 2 1 1 1 biggs, eggs ...
fd 2 -1 5 3 0 1 1 loft, kraft, soft, lovecraft, raft ...
ɾt͡ʃ 2 -3 3 2 0 1 1 march, research, search ...
ɾms 3 -1 -1 2 1 0 1 1 arms, worms ...
lt͡ʃ 2 -3 1 1 1 1 1 welch ...
nks 3 -2 1 1 1 1 1 1 hanks ...
sk 2 -1 2 1 0 1 1 disc, task ...
nsk 3 -1 -1 1 1 1 1 1 minsk ...
ɡts 3 0 1 1 1 1 1 1 lights ...
ɾkk 3 -3 0 1 1 1 1 1 bismarck ...
kd 2 0 2 1 0 0 1 perfect, subject ...
fs 2 0 1 1 1 1 1 chefs ...
ɡɡ 2 0 1 1 1 1 1 hogg ...
ɡs 2 1 5 2 0 0 1 blogs, bulldogs, airbags, gags, tuaregs ...
pp 2 0 1 1 1 1 1 trapp ...
t͡ʃd 2 0 2 1 0 1 1 albrecht, brecht ...
st͡ʃ 2 -1 1 1 1 1 1 bosch ...
zb 2 -1 1 1 1 1 1 usb ...
ɾps 3 -3 1 1 0 0 0 0 corps ...
ɾɡs 3 -3 1 1 0 0 0 0 icebergs ...
2 -2 1 0 0 0 0 schulz ...
ffs 3 0 0 1 0 0 0 0 sheriffs ...
pd 2 0 2 0 0 0 0 script, sept ...
sp 2 -1 1 0 0 0 0 wasp ...
ldd 3 -3 0 1 0 0 0 0 humboldt ...
msk 3 -1 -1 1 0 0 0 0 omsk ...
dst͡ʃ 3 1 -1 1 0 0 0 0 kitsch ...
ndɾ 3 -2 3 1 0 0 0 0 aleksandr ...
ɾθ 2 -2 1 0 0 0 0 schwarz ...
db 2 0 1 0 0 0 0 itv ...
ɾst͡ʃ 3 -2 -1 1 0 0 0 0 kirsch ...
xn 2 1 1 0 0 0 0 rijn ...
ɡb 2 0 1 0 0 0 0 acv ...
mps 3 -2 1 1 0 0 0 0 champs ...