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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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MI3
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 377 -60.77 15.07 1,339.89 0.89 89 482,420 112.68
2. do did
do
does
doing
Verb 14 -50.31 3.76 183.17 0.69 11 7,568,679 7.18
3. have 've
had
has
have
having
Verb 83 -43.84 10.21 368.76 0.86 51 1,439,268 37.77
4. say said
say
says
Verb 10 -34.8 3.06 103.58 0.61 7 12,065,913 4.51
5. see saw
see
seeing
Verb 7 -23.86 2.29 57.71 0.63 7 15,031,468 3.62
6. come come
comes
Verb 5 -22.28 1.19 45.84 0.56 5 18,060,753 3.01
7. go go
going
went
Verb 12 -21.28 4.33 64.61 0.73 12 9,252,432 5.88
8. make made
make
making
Verb 12 -19.47 4.44 58.26 0.7 11 16,986,110 3.2
9. get get
getting
got
Verb 13 -18.79 4.77 57.85 0.64 9 10,044,807 5.41
10. take take
taken
taking
took
Verb 10 -17.64 3.93 48 0.66 9 7,951,198 6.84
11. could could Verb 10 -16.03 4.04 42.91 0.66 9 10,758,683 5.05
12. can can Verb 24 -15.37 7.12 58.36 0.77 19 4,036,573 13.47
13. find find
finds
found
Verb 5 -14 1.78 27.21 0.48 4 18,804,125 2.89
14. give give
given
Verb 8 -13.94 3.43 33.13 0.54 6 12,479,660 4.36
15. would 'd
would
Verb 33 -13.54 8.34 55.96 0.79 23 4,939,585 11
16. will will
wo
Verb 35 -10.71 8.77 41.71 0.78 27 2,852,882 19.05
17. should should Verb 10 -9.92 4.6 24 0.58 7 14,370,213 3.78
18. put put
putting
Verb 6 -8.03 3.07 15.17 0.6 6 14,757,339 3.68
19. must must Verb 7 -7.37 3.69 14.44 0.53 5 16,819,182 3.23
20. mean mean
means
Verb 8 -5.84 4.38 11.2 0.57 6 17,845,270 3.05
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