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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
am
are
be
been
being
is
was
were
Verb 511 -49.39 16.32 1,147.56 0.84 78 869,695 62.5
2. do did
do
does
doing
Verb 20 -42.79 5.24 181.16 0.71 14 6,793,758 8
3. can can Verb 11 -27.98 3.68 84.8 0.66 9 9,146,902 5.94
4. go go
goes
going
gone
went
Verb 11 -23.7 3.89 70.27 0.71 11 8,577,731 6.34
5. get get
gets
getting
got
Verb 13 -19.8 4.7 61.48 0.72 12 9,771,788 5.56
6. have 've
had
has
have
having
Verb 222 -18.94 14.41 176.16 0.83 61 1,234,885 44.02
7. think think
thinks
thought
Verb 7 -18.87 2.59 44.31 0.63 7 9,658,803 5.63
8. know knew
know
known
knows
Verb 11 -17.97 4.24 51.07 0.64 8 24,332,706 2.23
9. use use
used
using
Verb 6 -17.13 2.17 37.08 0.53 5 32,176,196 1.69
10. come came
come
Verb 9 -16.1 3.67 41.22 0.61 7 16,338,760 3.33
11. make made
make
makes
making
Verb 17 -16.02 5.89 53.44 0.68 13 8,001,604 6.79
12. may may Verb 6 -15.79 2.27 33.79 0.53 5 13,287,768 4.09
13. see saw
see
seeing
seen
sees
Verb 16 -14.32 5.8 45.49 0.72 13 14,322,855 3.8
14. would would Verb 36 -13.3 8.65 56.35 0.75 21 4,777,909 11.38
15. could could Verb 14 -13.21 5.43 39.05 0.73 13 6,875,491 7.91
16. find find
found
Verb 6 -13.04 2.51 27.12 0.53 5 34,096,970 1.59
17. take take
taken
taking
took
Verb 18 -11.96 6.41 38.02 0.74 15 6,343,244 8.57
18. will will Verb 35 -11.46 8.7 45.71 0.78 21 5,586,391 9.73
19. should should Verb 13 -8.39 5.67 21.34 0.66 10 9,070,867 5.99
20. must must Verb 7 -7.82 3.63 15.56 0.63 7 10,416,461 5.22
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