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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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R
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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 276 -33.51 14.62 557.5 0.85 72 853,734 63.67
2. have 'd
had
has
have
having
Verb 59 -25.9 9.64 171.12 0.82 38 2,164,520 25.11
3. do did
do
does
doing
Verb 19 -20.45 5.99 76.82 0.69 13 8,610,228 6.31
4. can can Verb 6 -19.23 2.02 42.7 0.6 6 22,768,109 2.39
5. get get
gets
got
Verb 5 -17.07 1.53 34.36 0.56 5 13,894,487 3.91
6. see saw
see
Verb 5 -14.54 1.74 28.6 0.56 5 19,269,205 2.82
7. make made
make
makes
making
Verb 14 -7.61 6.01 19.43 0.69 11 11,738,780 4.63
8. come came
comes
coming
Verb 8 -7.54 4.13 15.69 0.66 8 10,055,665 5.41
9. could could Verb 10 -7.1 4.95 15.74 0.61 8 10,895,548 4.99
10. may may Verb 6 -6.88 3.24 12.54 0.53 5 17,613,132 3.09
11. say said
say
saying
says
Verb 31 -5.96 8.86 17.63 0.6 11 8,571,406 6.34
12. use use
used
uses
using
Verb 8 -5.85 4.38 11.26 0.61 7 11,097,412 4.9
13. would would Verb 30 -5.34 8.83 14.79 0.63 13 10,326,440 5.26
14. become became
become
Verb 5 -3.75 3.22 5.29 0.56 5 18,650,023 2.91
15. mean mean
means
meant
Verb 5 -3.63 3.25 5.05 0.56 5 15,798,520 3.44
16. need need
needs
Verb 5 -3.59 3.26 4.98 0.34 3 22,525,159 2.41
17. should should Verb 12 -2.92 6.29 4.67 0.68 10 9,382,977 5.79
18. hold held
hold
Verb 6 -1.37 4.53 1.22 0.53 5 17,702,874 3.07
19. will will Verb 44 -1.3 10.66 1.44 0.71 23 3,396,057 16.01
20. bring bring
bringing
brought
Verb 6 -1.06 4.65 0.79 0.48 4 16,097,277 3.38
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