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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:
Collocate's part of speech:
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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
DOES
Verb 13 -59.97 3.26 213.24 0.7 11 6,689,171 8.13
2. be 's
are
be
been
being
is
was
were
Verb 504 -56.15 16.15 1,349.55 0.91 89 377,779 143.89
3. say said
say
says
Verb 9 -42.36 2.42 121.85 0.68 9 14,118,847 3.85
4. know know
knowing
Verb 5 -32 0.71 67.89 0.56 5 20,742,824 2.62
5. go go
going
gone
went
Verb 8 -31.52 2.4 83.38 0.61 7 10,942,068 4.97
6. have 've
had
has
have
having
Verb 173 -28.41 13.21 284.93 0.9 71 909,792 59.75
7. can can Verb 22 -19.31 6.56 74.47 0.78 19 4,429,605 12.27
8. make made
make
makes
making
Verb 18 -16.98 6.02 58.65 0.76 16 5,732,143 9.48
9. take take
taking
took
Verb 14 -16.19 5.2 49.91 0.71 12 6,712,753 8.1
10. get get
gets
getting
got
Verb 20 -15.99 6.45 56.89 0.66 13 11,087,428 4.9
11. could could Verb 13 -15.47 5 45.86 0.72 12 9,317,226 5.83
12. would would Verb 35 -15.31 8.42 66.94 0.83 28 3,587,091 15.15
13. want want
wants
Verb 5 -14.58 1.73 28.48 0.56 5 15,515,046 3.5
14. come came
come
comes
coming
Verb 15 -12.17 5.76 36.2 0.74 14 9,359,142 5.81
15. need need
needed
Verb 5 -10.12 2.18 18.64 0.48 4 34,643,885 1.57
16. may may Verb 13 -9.83 5.5 26.17 0.7 11 8,131,323 6.69
17. see saw
see
seen
sees
Verb 30 -9.03 8.41 31.29 0.72 19 5,167,370 10.52
18. give gave
give
given
gives
giving
Verb 18 -8.43 6.76 24.04 0.77 17 5,219,885 10.41
19. work work
working
works
Verb 6 -8.39 3.02 16 0.48 4 21,175,766 2.57
20. mean mean
means
meant
Verb 7 -7.86 3.63 15.65 0.58 6 13,416,778 4.05
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