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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 348 -21.92 15.76 330.88 0.61 37 2,998,944 18.13
2. can can Verb 5 -19.35 1.37 39.64 0.17 2 30,458,280 1.78
3. do did
do
does
Verb 21 -16.87 6.56 63.55 0.64 10 16,313,522 3.33
4. would would Verb 19 -8 6.99 23.11 0.53 6 15,052,890 3.61
5. think think
thinks
thought
Verb 7 -7.36 3.7 14.49 0.53 5 24,011,600 2.26
6. go go
going
went
Verb 15 -6.89 6.34 17.39 0.51 6 23,316,873 2.33
7. get get
gets
got
Verb 17 -5.4 6.97 12.84 0.56 7 15,475,733 3.51
8. have had
has
have
having
Verb 181 -3.98 14.63 13.61 0.58 18 4,594,588 11.83
9. make made
make
makes
making
Verb 21 -3.84 7.91 8.18 0.48 6 18,890,104 2.88
10. want WANT
wanted
wants
Verb 7 -3.45 4.41 5.2 0.45 4 31,321,228 1.74
11. come came
come
comes
Verb 14 -3.38 6.69 6.08 0.62 8 9,351,604 5.81
12. see saw
see
seeing
seen
sees
Verb 20 -3.15 7.87 5.91 0.58 9 17,599,440 3.09
13. know knew
know
known
knows
Verb 20 -2.87 7.93 5.09 0.64 9 16,223,601 3.35
14. look looked
looks
Verb 11 -2.74 6.05 4.14 0.55 7 23,393,800 2.32
15. may may Verb 12 -2.53 6.38 3.74 0.53 6 16,479,346 3.3
16. need needed
needs
Verb 6 -2.39 4.19 2.9 0.53 5 24,692,196 2.2
17. will will Verb 34 -2.37 9.68 4.08 0.3 6 19,927,173 2.73
18. take Take
taken
takes
taking
took
Verb 22 -2.13 8.38 3.16 0.53 7 9,891,160 5.5
19. could could Verb 20 -2.12 8.08 3.1 0.5 8 15,482,052 3.51
20. give gave
given
Verb 15 -2.08 7.19 2.84 0.45 6 23,701,572 2.29
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