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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
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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 764 -54.77 17.58 1,507.84 0.8 88 510,252 106.53
2. have 'd
've
had
has
have
having
Verb 181 -39 13.04 435.2 0.8 64 1,145,486 47.46
3. say said
say
saying
says
Verb 20 -34.81 5.51 141.64 0.74 16 4,448,478 12.22
4. get Get
gets
got
Verb 11 -32.3 3.49 98.91 0.61 8 13,354,561 4.07
5. think think
thinks
thought
Verb 6 -30.07 1.44 68.95 0.6 6 15,541,046 3.5
6. would 'd
would
Verb 27 -26 6.92 115.38 0.75 18 5,000,715 10.87
7. do did
do
does
doing
done
Verb 75 -25.5 10.48 172.42 0.82 40 2,700,415 20.13
8. know knew
know
knowing
known
knows
Verb 13 -23.8 4.47 75.67 0.7 11 13,617,592 3.99
9. go go
goes
going
gone
went
Verb 21 -22.79 6.21 88.61 0.72 15 4,426,545 12.28
10. can ca
can
Verb 33 -19.55 7.95 88.71 0.75 20 6,769,454 8.03
11. could could Verb 15 -19.05 5.25 62.17 0.68 11 9,006,124 6.04
12. will will
wo
Verb 41 -16.07 8.9 75.21 0.56 17 7,552,982 7.2
13. tell tell
tells
told
Verb 5 -15.94 1.62 31.45 0.56 5 20,499,465 2.65
14. come came
come
comes
coming
Verb 18 -14.66 6.18 48.86 0.71 14 8,196,778 6.63
15. may may Verb 13 -13.73 5.14 39.61 0.62 9 8,643,564 6.29
16. want want
wanted
Verb 9 -13.18 3.91 32.45 0.64 8 10,014,162 5.43
17. need need
needed
needs
Verb 6 -12.11 2.6 24.82 0.6 6 10,375,798 5.24
18. make made
make
makes
making
Verb 40 -12.05 9.11 50.88 0.76 24 3,419,640 15.9
19. must must Verb 7 -12.01 3.15 26.2 0.58 6 25,243,886 2.15
20. leave leave
left
Verb 6 -11.24 2.69 22.73 0.6 6 14,645,540 3.71
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