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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
are
be
been
being
is
was
were
Verb 815 -73.86 17.5 2,279.68 0.91 97 242,436 224.22
2. do did
do
does
doing
done
Verb 34 -59.3 6.69 329.24 0.81 27 3,148,747 17.26
3. say said
say
saying
says
Verb 13 -58.92 3.28 205.62 0.66 10 7,749,704 7.01
4. have 've
had
has
have
having
Verb 165 -57.67 12.28 675.94 0.88 64 865,374 62.82
5. know knew
know
known
Verb 7 -45.3 1.44 114.97 0.63 7 17,100,274 3.18
6. get get
getting
got
Verb 14 -36.78 4.18 127.19 0.68 11 9,572,231 5.68
7. go go
goes
going
went
Verb 16 -36.24 4.67 133.1 0.75 15 5,536,291 9.82
8. take take
takes
taking
took
Verb 14 -29.27 4.47 98.57 0.71 12 5,742,784 9.47
9. look look
looked
looking
looks
Verb 6 -29.21 1.48 66.64 0.53 5 17,416,422 3.12
10. come came
come
comes
coming
Verb 15 -22.71 5.03 76.09 0.71 13 4,910,082 11.07
11. make made
make
makes
making
Verb 30 -21.76 7.5 96.92 0.82 26 3,183,820 17.07
12. would would Verb 53 -21.3 9.48 118.44 0.83 34 2,992,627 18.16
13. will will
willed
Verb 50 -19.05 9.4 100.43 0.83 35 2,642,805 20.57
14. find find
finds
found
Verb 10 -18.4 3.87 50.06 0.61 8 13,865,947 3.92
15. should should Verb 13 -17.94 4.82 54.37 0.7 11 8,674,449 6.27
16. see saw
See
seeing
seen
Verb 32 -17.62 7.96 76.66 0.81 24 3,953,545 13.75
17. might might Verb 5 -16.58 1.57 32.85 0.56 5 22,837,112 2.38
18. ask ask
asking
asks
Verb 5 -16.15 1.6 31.89 0.56 5 13,485,067 4.03
19. can ca
can
Verb 63 -15.56 10.39 83.6 0.85 39 1,817,541 29.91
20. could could Verb 30 -15.33 7.89 62.72 0.81 26 3,026,152 17.96
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