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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
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have 'd
've
had
has
have
having
Verb 110 -62.03 10.77 620.7 0.89 61 1,095,761 49.61
2. do did
do
does
doing
Verb 29 -53.82 6.26 275.53 0.81 24 3,488,928 15.58
3. take take
taken
taking
took
Verb 5 -44.15 0.27 95.35 0.56 5 23,903,614 2.27
4. be 'm
's
am
are
be
been
being
is
was
were
Verb 1,056 -43.04 18.87 1,194.47 0.93 100 188,289 288.7
5. know know
knowing
known
knows
Verb 6 -41.03 1.02 96.28 0.6 6 11,943,004 4.55
6. say said
say
saying
Verb 22 -35.67 5.81 151.83 0.74 15 6,819,549 7.97
7. think think
thought
Verb 8 -27.52 2.58 71.47 0.66 8 10,261,292 5.3
8. see see
seen
sees
Verb 14 -25.81 4.63 85.67 0.73 13 8,292,478 6.56
9. use use
used
using
Verb 7 -24.69 2.25 59.63 0.58 6 13,730,040 3.96
10. will will Verb 33 -21.25 7.86 98.23 0.82 27 4,730,920 11.49
11. find find
found
Verb 6 -20.92 1.92 46.25 0.6 6 10,880,399 5
12. make made
make
makes
making
Verb 24 -20.67 6.79 83.3 0.77 18 9,115,890 5.96
13. give gave
give
given
giving
Verb 11 -19.23 4.15 54.99 0.68 10 13,443,401 4.04
14. would 'd
would
Verb 50 -17.63 9.48 91.2 0.84 35 2,432,725 22.35
15. could could Verb 26 -13.67 7.52 51.45 0.78 20 4,256,517 12.77
16. leave leaves
leaving
left
Verb 6 -12.3 2.58 25.27 0.6 6 12,469,926 4.36
17. show showing
shown
shows
Verb 6 -11.85 2.62 24.18 0.6 6 19,997,895 2.72
18. come came
come
comes
coming
Verb 30 -10.31 8.29 37.32 0.8 24 4,528,087 12
19. hold held
hold
holding
holds
Verb 5 -10.11 2.18 18.6 0.56 5 23,659,677 2.3
20. need need
needs
Verb 9 -9.81 4.25 22.67 0.64 8 11,885,630 4.57
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