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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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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 220 -44.58 13.56 743.23 0.87 67 946,823 57.41
2. do did
do
does
Verb 15 -25.68 4.88 90.34 0.71 12 10,791,803 5.04
3. can can Verb 7 -18.6 2.61 44.02 0.58 6 13,176,619 4.13
4. go go
goes
going
gone
went
Verb 6 -17.36 2.15 37.96 0.53 5 17,337,740 3.14
5. have had
has
have
Verb 114 -14.89 12.41 103.27 0.85 46 1,784,370 30.46
6. think think
thought
Verb 5 -11.55 2.02 21.89 0.56 5 13,516,645 4.02
7. know knew
know
known
knows
Verb 8 -10.69 3.74 24.26 0.54 5 14,283,523 3.81
8. make made
make
making
Verb 12 -9.51 5.26 24.58 0.7 11 8,507,731 6.39
9. come came
come
comes
Verb 7 -9.08 3.47 18.83 0.63 7 10,125,045 5.37
10. would would Verb 22 -8.68 7.41 27.07 0.75 17 6,255,289 8.69
11. see saw
see
seen
Verb 11 -8.65 5.07 21.06 0.64 9 8,537,408 6.37
12. should should Verb 5 -8.23 2.42 14.61 0.56 5 14,642,929 3.71
13. take take
takes
taking
took
Verb 11 -7.91 5.16 18.75 0.66 9 8,584,307 6.33
14. will will
wo
Verb 21 -7.57 7.38 22.06 0.73 14 5,837,004 9.31
15. say said
say
saying
says
Verb 29 -7.23 8.49 22.92 0.74 19 8,769,878 6.2
16. could could Verb 11 -7.04 5.28 16.08 0.71 11 8,149,388 6.67
17. want want
wanted
wants
Verb 6 -5.21 3.52 8.75 0.53 5 18,631,927 2.92
18. may may Verb 9 -5.06 4.91 9.62 0.68 9 8,970,739 6.06
19. tell tell
told
Verb 6 -3.97 3.78 6.05 0.6 6 13,845,686 3.93
20. might might Verb 5 -3.43 3.3 4.68 0.56 5 13,544,747 4.01
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