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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 'm
're
's
am
are
be
been
being
is
was
were
Verb 1,343 -148.62 18.44 6,555.02 0.93 99 183,659 295.98
2. do did
do
does
doing
done
Verb 68 -98.7 8.48 786.31 0.86 43 1,995,642 27.24
3. have 'd
've
had
has
have
having
Verb 354 -92.99 14.36 1,624.86 0.93 92 401,371 135.43
4. would 'd
would
Verb 39 -71.12 6.94 418.87 0.81 28 2,826,077 19.23
5. can ca
can
Verb 32 -70.9 6.24 380.09 0.77 21 3,939,604 13.8
6. know knew
know
knowing
known
knows
Verb 16 -69.64 3.8 267.73 0.74 14 7,553,180 7.2
7. say said
say
saying
says
Verb 55 -63.18 8.31 431.07 0.86 40 2,048,628 26.53
8. think think
thinking
thought
Verb 14 -59.72 3.53 213.09 0.71 12 5,936,248 9.16
9. will will
wo
Verb 51 -52.92 8.27 340.71 0.8 30 3,658,058 14.86
10. may may Verb 11 -52.87 2.84 166.79 0.57 8 8,028,407 6.77
11. see saw
see
seeing
seen
Verb 37 -44.19 7.37 240.27 0.84 32 3,516,687 15.46
12. ask asked
asking
Verb 5 -40.45 0.39 86.26 0.56 5 16,864,641 3.22
13. want want
wanting
Verb 12 -38.29 3.58 122.71 0.66 10 10,504,215 5.18
14. could could Verb 36 -38.11 7.46 200.48 0.84 31 2,880,571 18.87
15. must must Verb 10 -33.38 3.11 97.14 0.61 8 12,216,734 4.45
16. might might Verb 8 -31.71 2.39 82.89 0.61 7 12,226,748 4.45
17. give gave
give
given
gives
giving
Verb 32 -30.91 7.31 149.54 0.8 24 6,466,212 8.41
18. go go
goes
going
gone
went
Verb 93 -29.12 11.07 215.25 0.85 50 1,636,465 33.22
19. mean mean
Means
meant
Verb 11 -28.93 3.64 86.69 0.68 10 9,244,936 5.88
20. need need
needed
needs
Verb 11 -28.73 3.65 86.03 0.68 10 19,064,085 2.85
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