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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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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 353 -49.3 15.07 1,005.02 0.87 69 1,066,974 50.95
2. do did
do
does
doing
Verb 11 -46.79 3 151.49 0.64 8 12,515,783 4.34
3. have 've
had
has
have
Verb 133 -22.84 12.54 195.16 0.82 47 1,997,326 27.22
4. go go
goes
going
gone
went
Verb 9 -20.48 3.37 54.61 0.68 9 8,796,713 6.18
5. can can Verb 14 -18.07 5.07 57.24 0.65 11 9,692,100 5.61
6. come came
come
comes
Verb 5 -17.91 1.47 36.04 0.56 5 25,291,663 2.15
7. say said
say
says
Verb 20 -17.59 6.34 64.38 0.68 12 21,707,741 2.5
8. would 'd
would
Verb 21 -15.28 6.67 55.21 0.76 17 5,826,286 9.33
9. see see
seeing
seen
Verb 10 -15.06 4.12 39.97 0.66 9 12,010,496 4.53
10. take take
taken
takes
taking
took
Verb 9 -15.02 3.75 38.1 0.68 9 9,903,365 5.49
11. give gave
given
giving
Verb 7 -12.09 3.14 26.51 0.58 6 19,700,050 2.76
12. will will Verb 23 -12.06 7.23 42.27 0.76 18 6,770,936 8.03
13. may may Verb 7 -10.63 3.29 22.72 0.53 5 21,147,039 2.57
14. make made
make
makes
making
Verb 21 -9.66 7.15 30.56 0.75 16 6,925,400 7.85
15. should should Verb 9 -8.33 4.42 18.54 0.5 5 12,559,881 4.33
16. could could Verb 21 -6.3 7.54 16.94 0.78 19 4,860,264 11.18
17. show show
shown
shows
Verb 5 -5.93 2.78 9.67 0.48 4 25,573,129 2.13
18. must must Verb 7 -5.58 3.98 10.09 0.63 7 10,985,070 4.95
19. use used
using
Verb 17 -5.02 7.03 11.48 0.73 15 5,499,489 9.88
20. move move
moved
moving
Verb 5 -2.98 3.42 3.83 0.48 4 46,306,748 1.17
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