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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. be 're
's
are
be
been
being
is
was
were
Verb 148 -32.78 12.53 435.69 0.47 32 2,805,140 19.38
2. do did
do
does
Verb 9 -20.67 3.36 56.61 0.5 6 27,246,105 2
3. would 'd
would
Verb 7 -12.06 3.14 26.81 0.58 6 20,016,767 2.72
4. have had
has
have
having
Verb 73 -11.28 11.17 61.17 0.69 33 3,186,215 17.06
5. go go
goes
Verb 6 -9.84 2.84 19.66 0.29 3 44,632,846 1.22
6. see see Verb 6 -7.6 3.13 14.31 0.29 3 30,537,499 1.78
7. get get
got
Verb 11 -5.23 5.55 10.81 0.68 10 7,703,812 7.06
8. may may Verb 5 -4.48 3.06 6.74 0.4 3 29,977,436 1.81
9. give gave
give
given
gives
giving
Verb 6 -4.35 3.7 6.89 0.29 3 28,574,414 1.9
10. can can Verb 18 -3.98 7.39 8.34 0.22 2 46,915,601 1.16
11. make made
make
making
Verb 14 -3.71 6.62 7.04 0.38 5 16,796,356 3.24
12. will will Verb 20 -3.25 7.86 6.26 0.35 4 24,135,904 2.25
13. take take
taken
takes
taking
took
Verb 12 -3.21 6.22 5.41 0.52 7 16,422,629 3.31
14. work work
working
Verb 5 -1.44 3.93 1.27 0.4 3 44,259,483 1.23
15. show show
showed
showing
Verb 5 -1.25 4 1.01 0.48 4 22,161,759 2.45
16. bring Bring
bringing
Verb 5 -0.29 4.47 0.07 -0.01 1 54,284,694 1
17. run ran
run
running
Verb 5 -0.09 4.59 0.01 0.34 3 23,831,789 2.28
18. set Set
setting
Verb 5 -0.08 4.59 0.01 0.28 2 51,758,525 1.05
19. leave leave
leaving
left
Verb 9 0.32 6.5 0.11 0.47 4 28,461,690 1.91
20. lose losing
lost
Verb 5 0.65 5.14 0.59 0.48 4 26,125,723 2.08
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