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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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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have 've
had
has
have
having
Verb 73 -111.64 8.57 988.56 0.87 48 1,508,729 36.03
2. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 665 -102.73 16.44 3,174.54 0.93 93 307,441 176.81
3. say said
saying
Verb 9 -82.19 1.51 244.34 0.64 8 8,370,772 6.49
4. take taken
taking
Verb 5 -60.39 -0.16 132.18 0.56 5 21,285,643 2.55
5. would 'd
would
Verb 20 -48.26 5.08 202.49 0.75 17 5,300,377 10.26
6. could could Verb 7 -46.18 1.41 117.18 0.63 7 14,425,912 3.77
7. use use
uses
using
Verb 5 -41.44 0.36 88.85 0.56 5 13,087,784 4.15
8. think think
thought
Verb 9 -35.64 2.65 99.85 0.61 7 20,013,590 2.72
9. will will Verb 27 -35.1 6.55 162.41 0.78 20 5,562,404 9.77
10. do did
do
does
Verb 95 -34.42 10.96 273.47 0.85 49 2,245,417 24.21
11. make made
make
makes
making
Verb 20 -33.34 5.56 133.84 0.77 18 5,648,010 9.62
12. find find
found
Verb 5 -32.32 0.69 68.19 0.56 5 13,516,273 4.02
13. mean mean
means
meant
Verb 6 -18.87 2.05 41.15 0.6 6 15,087,209 3.6
14. can ca
can
Verb 63 -18.7 10.21 106.51 0.83 40 2,244,388 24.22
15. know knew
know
knowing
known
knows
Verb 35 -18.39 8.22 83.58 0.81 27 3,481,587 15.61
16. should should Verb 17 -17.23 5.8 57.89 0.78 17 4,674,300 11.63
17. may may Verb 18 -17.2 6 59.11 0.73 15 5,333,931 10.19
18. become became
become
becoming
Verb 8 -16.02 3.26 38.76 0.61 7 13,698,477 3.97
19. must must Verb 9 -15.8 3.69 40.11 0.68 9 15,538,037 3.5
20. give give
given
giving
Verb 24 -15.71 7.1 59.32 0.79 21 4,707,588 11.55
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