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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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TTEST
MI3
CHISQ
JD
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 497 -56.44 16.09 1,351.74 0.85 83 603,371 90.09
2. do did
do
does
Verb 15 -55 3.89 208.06 0.74 14 5,672,733 9.58
3. have 've
had
has
have
having
Verb 83 -50.59 10.04 435.54 0.8 42 2,146,125 25.33
4. go go
goes
going
went
Verb 5 -40.99 0.37 88.57 0.56 5 14,290,572 3.8
5. know known
knows
Verb 5 -31.82 0.71 67.49 0.48 4 22,041,592 2.47
6. would would Verb 17 -26.17 5.3 95.52 0.73 14 6,685,023 8.13
7. make made
make
makes
making
Verb 11 -23.69 3.89 70.13 0.68 10 10,072,689 5.4
8. come came
come
comes
Verb 6 -22.79 1.8 51.02 0.6 6 12,141,425 4.48
9. see see
seen
Verb 13 -18.32 4.8 56.06 0.72 12 8,206,848 6.62
10. find find
found
Verb 5 -16.07 1.61 31.8 0.48 4 16,636,909 3.27
11. take take
taken
takes
taking
took
Verb 15 -15.28 5.51 47.89 0.74 14 5,987,206 9.08
12. give give
given
gives
giving
Verb 11 -12.81 4.64 34.1 0.66 9 11,301,894 4.81
13. could could Verb 18 -11.89 6.41 37.66 0.67 12 6,110,776 8.9
14. can can Verb 41 -11.08 9.27 45.97 0.69 20 5,652,798 9.62
15. use use
used
using
Verb 13 -10.74 5.41 29.29 0.7 11 6,697,359 8.12
16. must must Verb 6 -9.75 2.85 19.2 0.53 5 19,340,385 2.81
17. should should Verb 14 -8.72 5.88 23.05 0.68 11 8,522,267 6.38
18. will will
wo
Verb 50 -8.61 10.14 34.17 0.79 32 2,696,608 20.16
19. need need
needed
needs
Verb 7 -7.74 3.64 15.35 0.63 7 23,153,151 2.35
20. call called Verb 6 -6.57 3.29 11.78 0.48 4 24,226,088 2.24
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