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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
am
are
be
been
being
is
was
were
Verb 1,107 -180.16 17.54 7,591.88 0.92 100 184,427 294.75
2. do did
do
does
done
Verb 47 -127.69 6.81 869.76 0.82 33 3,093,213 17.57
3. can ca
can
Verb 21 -94.26 4.35 421.56 0.76 18 4,928,083 11.03
4. get get
gets
getting
got
Verb 15 -91.21 3.2 345.4 0.72 13 6,641,882 8.18
5. have 've
had
has
have
having
Verb 406 -89.04 14.89 1,633.86 0.89 94 448,492 121.21
6. think think
thinks
thought
Verb 10 -75.37 2.01 231.84 0.46 6 11,702,380 4.65
7. know knew
know
known
knows
Verb 24 -57.99 5.49 266.25 0.75 18 4,094,438 13.28
8. make made
make
makes
making
Verb 34 -56.31 6.76 303.16 0.81 28 5,102,518 10.65
9. say said
say
saying
says
Verb 82 -51.42 9.98 406.99 0.75 34 3,197,875 17
10. use use
used
uses
using
Verb 15 -50.15 4.01 182.41 0.74 14 6,020,187 9.03
11. would would Verb 76 -49.25 9.76 374.24 0.82 45 2,535,282 21.44
12. will will Verb 67 -46.62 9.39 332.18 0.78 34 3,067,341 17.72
13. could could Verb 29 -46.02 6.46 225.15 0.73 20 4,228,442 12.86
14. may may Verb 16 -44.73 4.39 166.01 0.75 15 7,614,375 7.14
15. should should Verb 16 -43.16 4.44 159.7 0.67 12 6,106,122 8.9
16. want want
wanted
wanting
wants
Verb 11 -42.3 3.14 131.25 0.61 8 12,787,735 4.25
17. mean mean
means
meant
Verb 7 -39.64 1.62 99 0.58 6 22,701,370 2.39
18. put put Verb 8 -38.58 2.13 102.39 0.57 6 14,298,651 3.8
19. give gave
give
given
GIVES
Verb 25 -38.27 6.17 171.24 0.7 16 5,220,092 10.41
20. take take
taken
takes
taking
took
Verb 50 -35.36 8.7 211.71 0.82 32 2,809,705 19.35
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