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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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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 162 -22.37 13.22 271.86 0.87 62 1,167,996 46.54
2. do do
does
doing
Verb 7 -19.29 2.56 46.9 0.58 6 12,488,368 4.35
3. have 've
had
has
have
having
Verb 39 -15.92 8.74 79.6 0.78 27 4,594,291 11.83
4. would would Verb 7 -9.37 3.43 19.8 0.58 6 20,561,069 2.64
5. say said
says
Verb 8 -9.35 3.89 20.84 0.66 8 17,326,989 3.14
6. make made
make
making
Verb 6 -6.86 3.24 12.59 0.6 6 13,081,722 4.16
7. can ca
can
Verb 9 -6.5 4.68 13.63 0.64 8 12,960,606 4.19
8. know knew
know
Verb 5 -6.43 2.69 10.83 0.56 5 14,874,337 3.65
9. see saw
see
seen
Verb 11 -2.75 6.05 4.2 0.55 6 14,907,887 3.65
10. may may Verb 8 -1.51 5.38 1.49 0.54 6 16,434,669 3.31
11. will will Verb 24 -0.86 8.94 0.65 0.73 16 6,963,691 7.81
12. give gave
give
given
giving
Verb 11 -0.79 6.61 0.51 0.71 11 11,640,117 4.67
13. show show
showed
showing
shown
shows
Verb 5 -0.61 4.29 0.3 0.56 5 15,274,693 3.56
14. work work
worked
works
Verb 6 -0.3 5.01 0.08 0.43 4 30,547,613 1.78
15. should should Verb 12 0.04 7.19 0 0.66 10 17,351,434 3.13
16. follow followed
following
follows
Verb 6 0.46 5.47 0.26 0.6 6 13,401,291 4.06
17. meet meet
meeting
met
Verb 5 0.74 5.23 0.82 0.56 5 24,115,040 2.25
18. read read
reading
Verb 6 1.26 6.21 3.29 0.53 5 16,273,677 3.34
19. contain contain
contained
contains
Verb 5 1.37 6.01 4.83 0.48 4 38,532,659 1.41
20. agree agreed
agreeing
Verb 6 1.44 6.45 5.03 0.43 4 25,357,926 2.14
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