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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. do do
does
Verb 10 -36.81 2.98 112.07 0.54 7 12,555,118 4.33
2. be are
be
been
being
is
was
were
Verb 350 -33.31 15.43 597.94 0.72 72 875,075 62.12
3. have had
has
have
Having
Verb 67 -28.65 9.96 203.42 0.82 38 1,884,990 28.84
4. say said
saying
Verb 6 -28.19 1.53 65.22 0.6 6 19,481,306 2.79
5. see see
seen
Verb 8 -12.67 3.55 29.75 0.61 7 9,221,558 5.89
6. will will Verb 16 -11.37 6.06 34.38 0.65 10 8,838,411 6.15
7. give give
given
gives
Verb 5 -11.02 2.08 20.71 0.4 3 34,300,287 1.58
8. can can Verb 17 -10.93 6.31 33.45 0.72 14 12,897,099 4.21
9. make made
make
making
Verb 12 -10.87 5.12 29.06 0.66 9 7,518,078 7.23
10. would would Verb 23 -9.65 7.46 31.65 0.74 16 6,093,498 8.92
11. use use
used
Verb 6 -9.26 2.91 18.11 0.29 3 43,367,886 1.25
12. take take
taken
takes
taking
Verb 11 -9.08 5.02 22.38 0.57 8 13,429,712 4.05
13. could could Verb 15 -5.92 6.48 14.05 0.71 12 9,170,913 5.93
14. seem seem
seems
Verb 6 -3.33 3.93 4.72 0.6 6 13,000,527 4.18
15. might might Verb 6 -3.27 3.95 4.6 0.29 3 33,517,023 1.62
16. call called
calling
Verb 5 -3.24 3.35 4.31 0.48 4 15,211,487 3.57
17. should should Verb 15 -2.8 7.03 4.6 0.55 9 12,961,272 4.19
18. bring bring
bringing
brings
brought
Verb 5 -2.26 3.64 2.54 0.56 5 19,394,429 2.8
19. set set Verb 5 -1.89 3.76 1.95 0.48 4 16,476,651 3.3
20. become become
becomes
becoming
Verb 10 -1.79 6 2.06 0.64 8 12,154,809 4.47
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