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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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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. seem seem
seemed
seems
Verb 47 5.97 14.05 275.45 0.84 34 2,837,082 19.16
2. kill kill
killing
Verb 10 2.69 9.38 48.27 0.46 6 19,358,184 2.81
3. prove prove
proving
Verb 9 2.51 8.96 38.89 0.31 4 16,864,698 3.22
4. destroy destroy
destroying
Verb 7 2.41 9.12 66.39 0.63 7 15,914,113 3.42
5. wound wounding Verb 6 2.4 10.73 272.09 0.6 6 19,918,930 2.73
6. cause cause Verb 9 2.31 8.46 23.26 0.38 4 14,069,843 3.86
7. sign signed
signing
Verb 7 2.3 8.56 40.88 0.58 6 15,324,324 3.55
8. create create
creating
Verb 5 1.26 5.84 3.62 0.34 3 34,397,732 1.58
9. win win
winning
Verb 5 1.17 5.71 2.88 0.56 5 13,695,584 3.97
10. show show
showing
shows
Verb 8 0.71 6.42 0.68 0.61 7 12,001,145 4.53
11. turn turn
turned
turning
Verb 5 0.24 4.8 0.06 0.56 5 14,061,268 3.87
12. make made
make
makes
making
Verb 16 -1.35 7.58 1.39 0.74 14 5,787,972 9.39
13. use use
used
using
Verb 7 -2.03 4.79 2.35 0.58 6 12,549,198 4.33
14. get get
getting
Verb 6 -6.43 3.31 11.61 0.6 6 25,423,289 2.14
15. will will
wo
Verb 6 -8.37 3.03 16.2 0.6 6 12,433,052 4.37
16. would would Verb 5 -11.11 2.07 21.19 0.56 5 25,597,510 2.12
17. do did
do
does
doing
Verb 9 -15.16 3.74 39.69 0.64 8 9,814,712 5.54
18. have had
has
have
having
Verb 25 -20.99 6.91 94.52 0.73 17 5,104,999 10.65
19. be are
be
been
being
is
was
were
Verb 104 -30.93 11.39 355.42 0.85 47 1,798,752 30.22
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