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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 320 -45.92 14.81 885.68 0.77 55 1,735,404 31.32
2. do did
do
does
doing
Verb 17 -31.84 5.05 121.49 0.66 11 19,313,262 2.81
3. say said
say
says
Verb 12 -21.94 4.3 67.4 0.7 11 10,323,579 5.27
4. have had
has
have
Verb 123 -20.8 12.36 167.74 0.72 33 3,334,993 16.3
5. know knew
know
known
Verb 6 -17.77 2.12 38.82 0.53 5 13,088,457 4.15
6. would would Verb 15 -17.1 5.38 55.32 0.63 10 16,379,606 3.32
7. can can Verb 13 -16.59 4.92 50.2 0.68 10 23,922,552 2.27
8. get get
getting
got
Verb 12 -13.62 4.87 38.3 0.58 8 16,447,525 3.31
9. see saw
see
seen
sees
Verb 10 -13.1 4.28 33.87 0.61 7 16,378,838 3.32
10. take take
taken
takes
Taking
took
Verb 9 -13.08 3.92 32.37 0.61 7 21,001,538 2.59
11. make made
make
makes
Verb 13 -12.55 5.24 35.76 0.54 7 19,890,232 2.73
12. go go
going
gone
went
Verb 18 -10.57 6.54 32.61 0.69 11 9,971,792 5.45
13. come came
come
comes
coming
Verb 10 -9.55 4.64 22.96 0.56 6 24,494,414 2.22
14. could could Verb 13 -8.73 5.63 22.59 0.68 10 19,380,295 2.8
15. should should Verb 8 -7.89 4.08 16.59 0.51 5 40,135,585 1.35
16. will will
wo
Verb 33 -6.81 8.96 21.68 0.72 17 8,537,951 6.37
17. give gave
give
given
gives
Verb 13 -6.04 5.98 13.78 0.61 9 17,330,486 3.14
18. leave leave
leaving
left
Verb 5 -5.28 2.9 8.33 0.56 5 16,219,345 3.35
19. seem seem
seemed
seems
Verb 5 -5.19 2.91 8.15 0.48 4 23,999,399 2.27
20. might might Verb 5 -5.11 2.93 7.99 0.34 3 28,255,033 1.92
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