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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 's
are
be
been
being
is
was
were
Verb 279 -50.58 14.24 951.51 0.76 72 826,633 65.76
2. have 've
had
has
have
having
Verb 75 -31.55 10.24 239.02 0.78 36 2,055,444 26.45
3. do did
do
does
doing
Verb 17 -31.28 5.07 119.13 0.7 13 7,189,061 7.56
4. go go
goes
going
went
Verb 6 -22.81 1.8 51.41 0.53 5 21,860,717 2.49
5. would would Verb 12 -19.62 4.43 59.19 0.7 11 10,133,370 5.36
6. could could Verb 5 -17.35 1.51 34.84 0.56 5 19,025,243 2.86
7. get get
getting
got
Verb 9 -16.43 3.64 42.41 0.68 9 15,877,979 3.42
8. will will Verb 18 -12.49 6.36 40.42 0.73 14 10,333,454 5.26
9. take take
taken
took
Verb 11 -11 4.81 28.44 0.64 9 8,612,469 6.31
10. make made
make
makes
making
Verb 15 -10.93 5.88 31.81 0.72 13 6,641,194 8.19
11. give gave
give
given
gives
giving
Verb 7 -10.29 3.32 21.89 0.63 7 13,329,243 4.08
12. come came
come
comes
coming
Verb 9 -10.19 4.2 23.91 0.61 7 16,931,866 3.21
13. can ca
can
Verb 29 -7.93 8.41 25.97 0.54 12 13,618,365 3.99
14. may may Verb 9 -7.28 4.56 15.62 0.55 6 15,265,682 3.56
15. must must Verb 5 -6.32 2.71 10.5 0.48 4 19,789,880 2.75
16. should should Verb 10 -6.28 5.07 13.33 0.46 6 13,431,333 4.05
17. work work
working
Verb 5 -5.33 2.89 8.44 0.34 3 20,039,010 2.71
18. provide provide
provided
provides
Verb 6 -3.16 3.97 4.38 0.53 5 11,858,241 4.58
19. follow follow
followed
following
Verb 6 -2.56 4.14 3.22 0.43 4 19,052,330 2.85
20. put put
putting
Verb 11 -2.27 6.17 3.08 0.61 8 14,041,789 3.87
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