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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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k 1 8390 107603 0 13 33170 que, qué, como, cuando, cómo ... [More]
n 1 1133 50065 0 44 29783 no, nos, nada, nunca, ni ... [More]
l 1 2026 62524 0 31 21524 lo, le, les, lugar, luego ... [More]
m 1 4535 58046 0 13 9642 me, más, muy, mucho, mejor ... [More]
t 1 2321 48895 0 21 7670 te, todo, tengo, tú, tiene ... [More]
s 1 4759 71842 0 15 7410 se, si, sí, sé, sólo ... [More]
p 1 4529 62025 0 14 10320 pero, puedo, porque, puede, puedes ... [More]
b 1 4234 47754 0 11 4909 bien, vamos, bueno, vez, voy ... [More]
ʝ 1 160 8058 0 50 4612 yo, ya, you, york, hielo ... [More]
ɡɾ 2 3 382 4186 0 11 1854 gracias, gran, grande, grandes, grupo ... [More]
f 1 1827 12004 0 7 1735 fue, favor, fuera, familia, forma ... [More]
2 3 505 4595 0 9 1510 creo, crees, cree, creer, creí ... [More]
d 1 6393 84109 0 13 32927 dos, dónde, dios, decir, día ... [More]
x 1 1075 7608 0 7 862 gente, juntos, genial, jefe, justo ... [More]
2 3 1228 6232 0 5 823 trabajo, tres, trabajar, trata, trato ... [More]
kl 2 3 229 1691 0 7 723 claro, clase, club, cliente, clark ... [More]
ɡ 1 1082 5052 0 5 571 gusta, guerra, gustaría, gusto, gustan ... [More]
2 3 2088 10118 0 5 452 problema, primera, primero, pronto, problemas ... [More]
r 1 5397 15047 0 3 450 razón, realmente, rápido, realidad, recuerdo ... [More]
θ 1 934 4905 0 5 434 cierto, ciudad, cerca, cinco, cielo ... [More]
t͡ʃ 1 580 2450 0 4 391 chica, chico, chicos, chicas, charlie ... [More]
ʎ 1 455 5432 0 12 260 llama, llegar, lleva, llamar, llamado ... [More]
zr 2 2 4 248 1 62 244 sra, sres, sras, sri ...
zrt 3 2 -3 1 177 177 177 177 srta ...
pl 2 3 271 1096 0 4 161 plan, placer, planeta, planes, playa ... [More]
2 2 363 1238 0 3 142 frente, frank, frío, francia, francés ... [More]
bl 2 3 114 425 0 4 117 blanco, blanca, blancos, black, blair ... [More]
2 3 292 1061 0 4 90 broma, bromeando, brazo, brillante, brazos ... [More]
2 3 91 303 0 3 82 drogas, dra, droga, dragón, drama ... [More]
fb 2 -1 1 62 62 62 62 fbi ...
fl 2 2 185 342 0 2 62 flores, flota, flor, florida, flujo ... [More]
st 2 -1 56 234 0 4 53 steve, stanley, steven, stephen, stone ... [More]
t͡ʃɾ 2 3 8 78 0 10 48 chris, christian, christopher, christie, chrysler ... [More]
ɡl 2 3 60 132 0 2 40 gloria, global, globo, glenn, globos ... [More]
2 -2 1 39 39 39 39 ryan ...
zm 2 1 3 40 1 13 37 smith, smoking, smash ...
sk 2 -1 24 80 0 3 36 scott, scully, skinner, scarlett, scout ... [More]
kn 2 2 2 20 0 10 20 know, knightsbridge ...
stɾ 3 -1 3 12 34 0 3 17 street, strike, strauss, stripper, striptease ... [More]
ps 2 1 49 92 0 2 15 psiquiatra, psicópata, psicología, psiquiátrico, psicólogo ... [More]
sp 2 -1 26 39 0 1 12 spencer, spock, speed, spanish, spiderman ... [More]
ɡb 2 0 4 11 0 3 10 gwen, gwendolen, gwendolyn, gwendoline ...
st͡ʃm 3 -1 2 1 6 6 6 6 schmidt ...
tb 2 0 7 12 0 2 5 two, twist, twain, twin, tweed ... [More]
mkk 3 -2 0 4 7 1 2 4 mccoy, mckinley, mccartney, mckinney ...
spɾ 3 -1 3 7 12 0 2 4 springs, springfield, spray, spring, springsteen ... [More]
sb 2 -1 7 9 0 1 4 sweet, swing, xbox, swahili, swansea ... [More]
2 1 2 4 1 2 3 bye, byers ...
zn 2 1 5 5 0 1 3 snake, snob, snowboard, snack, snorkel ...
dpt 3 0 0 1 3 3 3 3 dpto ...
st͡ʃb 3 -1 0 2 2 0 1 2 schwartz, schwarz ...
st͡ʃn 3 -1 2 2 2 0 1 2 schneider, schnauzer ...
st͡ʃ 2 -1 8 7 0 1 2 school, schultz, schubert, schumann, schulz ... [More]
ɡn 2 2 2 3 1 2 2 gnomo, gnomos ...
2 -2 2 2 0 1 2 lyon, lyuba ...
2 1 2 2 0 1 2 kyoto, kyushu ...
2 1 1 2 2 2 2 thierry ...
ts 2 1 3 2 0 1 1 tsunami, tsunamis, tse ...
kb 2 0 2 1 0 1 1 kwon, kwanza ...
skɾ 3 -1 3 4 2 0 1 1 scrabble, scratch, script, screen ...
st͡ʃɾ 3 -1 3 1 1 1 1 1 schroeder ...
bb 2 0 1 1 1 1 1 bwana ...
zb 2 -1 3 1 0 0 1 svetlana, sveta, svalbard ...
dn 2 2 1 1 1 1 1 dni ...
pt 2 0 3 1 0 0 1 ptolomeo, pterodáctilo, pte ...
zl 2 2 5 2 0 0 1 slam, slogan, slip, slogans, slot ...
fm 2 1 1 1 1 1 1 fmi ...
mɡd 3 -2 0 2 1 0 1 1 mcdowell, mcdonalds ...
spl 3 -1 3 1 1 1 1 1 split ...
ɲ 1 6 2 0 0 1 ñam, ño, ñoño, ñu, ñus ... [More]
fɾʝ 3 2 -2 1 0 0 0 0 fryer ...
km 2 2 1 0 0 0 0 khmer ...
tt͡ʃ 2 0 1 0 0 0 0 tchaikovsky ...
pɾʝ 3 3 -2 1 0 0 0 0 pryor ...
2 1 1 0 0 0 0 pyongyang ...
pn 2 2 1 0 0 0 0 phnom ...
2 0 1 0 0 0 0 fyodor ...
2 0 1 0 0 0 0 science ...
kp 2 0 1 0 0 0 0 cpu ...
2 1 1 0 0 0 0 czerny ...
flʝ 3 2 -2 2 0 0 0 0 flyer, flyers ...
rb 2 -3 1 0 0 0 0 rwanda ...
mk 2 -2 1 0 0 0 0 mcarthur ...
2 -1 1 0 0 0 0 mcenroe ...
st͡ʃl 3 -1 3 1 0 0 0 0 schlegel ...
2 -1 1 0 0 0 0 myanmar ...
mdm 3 -2 2 1 0 0 0 0 mdma ...
θl 2 2 1 0 0 0 0 zloty ...
sɡs 3 -1 1 2 0 0 0 0 xxiv, xxix ...