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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 1,075 -66.43 18.54 2,186.09 0.88 99 219,879 247.22
2. say said
say
saying
says
Verb 17 -56.72 4.29 223.92 0.75 15 6,236,347 8.72
3. do did
do
does
doing
done
Verb 62 -45.79 9.14 321.78 0.8 33 3,217,983 16.89
4. think think
thought
Verb 7 -40.35 1.59 101.46 0.63 7 8,710,377 6.24
5. have 'd
've
had
has
have
having
Verb 345 -35.69 15.31 486.43 0.92 87 504,848 107.67
6. know knew
know
known
knows
Verb 17 -30.11 5.12 110.87 0.76 16 5,818,955 9.34
7. go go
goes
going
gone
went
Verb 27 -29.27 6.78 131.7 0.78 21 5,477,882 9.92
8. would 'd
would
Verb 42 -29.24 8.32 159 0.84 33 2,236,243 24.31
9. look look
looked
looking
looks
Verb 10 -24.12 3.53 68.09 0.66 9 12,423,222 4.38
10. tell tell
tells
told
Verb 5 -23.72 1.11 48.79 0.48 4 30,053,584 1.81
11. will will
wo
Verb 54 -20.62 9.58 114.2 0.81 31 3,089,542 17.59
12. should should Verb 13 -20.36 4.67 62.99 0.7 11 9,804,707 5.54
13. could could Verb 26 -19.77 7.11 81.26 0.8 22 4,485,383 12.12
14. can ca
can
Verb 59 -19.33 9.95 108.66 0.84 39 2,164,852 25.11
15. use use
used
using
Verb 18 -18.35 5.93 63.91 0.76 16 5,982,293 9.09
16. might might Verb 6 -16.66 2.21 35.78 0.6 6 10,083,077 5.39
17. must must Verb 9 -15.46 3.72 39.09 0.64 8 10,242,348 5.31
18. put put Verb 9 -14.88 3.76 37.39 0.68 9 19,207,613 2.83
19. mean mean
meaning
means
meant
Verb 9 -14.08 3.83 35.04 0.64 8 10,455,746 5.2
20. set set
sets
Verb 5 -11.57 2.02 21.77 0.56 5 15,313,825 3.55
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