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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
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
am
are
be
been
being
is
was
were
Verb 551 -68.23 16.25 1,785.77 0.91 93 392,257 138.58
2. do did
do
does
Verb 17 -63.69 4.14 257.89 0.73 14 6,512,723 8.35
3. have had
has
have
having
Verb 93 -59.51 10.24 550.88 0.88 54 1,355,611 40.1
4. say said
say
says
Verb 8 -55.86 1.63 154.41 0.66 8 11,444,003 4.75
5. go go
goes
went
Verb 5 -50.77 0.08 110.82 0.56 5 13,338,929 4.08
6. would would Verb 14 -37.2 4.16 129.59 0.75 14 6,796,313 8
7. will will Verb 14 -32.6 4.33 111.84 0.71 12 8,975,736 6.06
8. could could Verb 6 -31.81 1.36 73.33 0.6 6 11,650,441 4.67
9. take take
taken
takes
took
Verb 8 -29.33 2.49 76.77 0.66 8 15,222,370 3.57
10. come came
come
coming
Verb 6 -28.5 1.51 65.08 0.6 6 15,624,674 3.48
11. see saw
see
seen
sees
Verb 14 -22.17 4.82 72.09 0.75 14 8,036,631 6.76
12. can can Verb 27 -21.23 7.16 90.57 0.78 22 4,929,296 11.03
13. look look
looked
looking
looks
Verb 8 -17.36 3.16 42.61 0.66 8 10,255,074 5.3
14. make made
make
makes
making
Verb 31 -14.16 8.08 57.58 0.8 24 3,102,829 17.52
15. use use
used
uses
using
Verb 14 -13.21 5.44 38.92 0.75 14 5,542,181 9.81
16. need need
needed
needs
Verb 5 -12.84 1.89 24.59 0.56 5 33,394,677 1.63
17. give gave
give
given
gives
Verb 16 -12.39 5.96 37.88 0.74 14 7,340,083 7.41
18. might might Verb 5 -11.62 2.01 21.9 0.56 5 35,642,471 1.53
19. feel feel
feels
felt
Verb 5 -11.28 2.05 21.17 0.56 5 14,566,344 3.73
20. find find
finds
found
Verb 12 -11.03 5.11 29.3 0.68 10 6,780,237 8.02
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