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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. say said
say
says
Verb 6 -91.49 -0.09 224.15 0.53 5 15,840,041 3.43
2. be 's
are
be
been
being
is
was
were
Verb 920 -68.04 17.99 2,139.76 0.92 91 361,118 150.53
3. get get
gets
getting
got
Verb 6 -60.72 0.48 145.58 0.6 6 13,393,390 4.06
4. go goes
going
went
Verb 7 -59.45 1.06 153.51 0.63 7 16,462,161 3.3
5. would would Verb 13 -55.29 3.37 191.8 0.72 12 6,093,325 8.92
6. do did
do
does
doing
done
Verb 43 -52.55 7.68 320.4 0.79 28 3,037,038 17.9
7. have had
has
have
having
Verb 212 -48.93 13.33 612.59 0.89 74 859,841 63.22
8. know know
knowing
known
Verb 11 -35.72 3.36 110.06 0.64 8 14,746,476 3.69
9. come came
come
comes
coming
Verb 9 -32.03 2.79 88.96 0.64 8 10,768,567 5.05
10. see SAW
see
seeing
seen
sees
Verb 16 -29.6 4.93 105.96 0.77 16 5,717,693 9.51
11. think think
thinking
thought
Verb 12 -26.66 4.05 82.75 0.73 12 6,599,419 8.24
12. give give
given
gives
giving
Verb 10 -25.58 3.46 72.79 0.66 9 18,664,838 2.91
13. make made
make
makes
making
Verb 26 -24.76 6.85 106.57 0.8 23 4,037,898 13.46
14. will will Verb 39 -23.94 8.3 121.22 0.81 28 3,501,297 15.53
15. take take
taken
takes
taking
took
Verb 21 -22.93 6.2 88.89 0.75 17 5,961,581 9.12
16. could could Verb 23 -19.46 6.71 75.9 0.78 20 5,034,145 10.8
17. find find
finding
finds
found
Verb 13 -15.69 4.98 46.4 0.74 13 7,845,391 6.93
18. can ca
can
Verb 69 -14.61 10.75 79.07 0.86 43 1,853,015 29.34
19. should should Verb 19 -13.83 6.44 46.27 0.75 17 5,537,733 9.82
20. mean mean
means
meant
Verb 8 -13.79 3.45 32.56 0.57 6 14,119,154 3.85
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