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HASK | COLLOCATION DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
being
is
was
were 		Verb 645 -106.95 16.28 3,290.33 0.9 96 359,110 151.37
2. say said
say
says 		Verb 6 -103.36 -0.26 254.04 0.6 6 31,342,771 1.73
3. go go
went 		Verb 5 -80.53 -0.57 178.61 0.56 5 16,966,671 3.2
4. do did
do
does
done 		Verb 28 -77.21 5.65 399.95 0.8 23 5,085,023 10.69
5. would 'd
would 		Verb 9 -76.73 1.61 227.07 0.64 8 9,493,324 5.73
6. have had
has
have
having 		Verb 166 -67.94 12.1 820.98 0.88 67 1,049,192 51.81
7. think think
thinking
thought 		Verb 8 -38.73 2.12 103.38 0.61 7 9,071,140 5.99
8. look look
looking 		Verb 5 -37.63 0.49 80.19 0.56 5 13,787,270 3.94
9. get get
gets
got 		Verb 20 -34.5 5.52 139.11 0.75 17 4,922,326 11.04
10. know know
knowing
known 		Verb 15 -33.78 4.53 119.18 0.69 12 6,631,014 8.2
11. will will
wo 		Verb 30 -33.29 6.99 160.08 0.78 21 5,981,864 9.09
12. can ca
can
canned 		Verb 34 -30.94 7.52 155.19 0.81 28 3,046,091 17.85
13. want want
wanted 		Verb 5 -29.79 0.8 62.45 0.48 4 17,937,064 3.03
14. may may Verb 8 -29.79 2.47 77.72 0.61 7 13,223,715 4.11
15. come came
come
comes
coming 		Verb 13 -29.22 4.21 94.98 0.72 12 7,308,496 7.44
16. should should Verb 8 -28.74 2.52 74.73 0.66 8 13,610,144 3.99
17. see see
seen
sees 		Verb 22 -27.59 6.14 112.36 0.78 19 3,399,708 15.99
18. make made
make
makes
making 		Verb 32 -24.66 7.58 115.51 0.81 26 4,124,293 13.18
19. must must Verb 5 -23.35 1.13 47.96 0.56 5 19,355,845 2.81
20. might might Verb 5 -19.4 1.37 39.1 0.48 4 20,828,535 2.61
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