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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 460 -53.02 15.9 1,213.16 0.89 81 689,984 78.78
2. do did
do
does
doing
done
Verb 18 -44.65 4.81 180.89 0.73 14 6,784,946 8.01
3. say said
saying
says
Verb 11 -33.82 3.43 104.87 0.66 9 18,754,478 2.9
4. have 've
had
HAS
have
having
Verb 195 -21.47 13.87 202.62 0.87 64 1,103,608 49.26
5. can can Verb 26 -14.88 7.43 57.75 0.76 20 7,295,942 7.45
6. would would Verb 31 -14.84 8.03 61.59 0.75 20 4,362,490 12.46
7. find finds
found
Verb 5 -14.42 1.75 28.14 0.56 5 14,362,176 3.78
8. make made
make
makes
making
Verb 19 -14.34 6.4 48.76 0.74 16 4,931,298 11.02
9. use use
used
uses
using
Verb 8 -13.81 3.44 32.75 0.61 7 15,310,367 3.55
10. come came
come
comes
coming
Verb 11 -13.64 4.56 36.84 0.71 11 7,077,127 7.68
11. will will Verb 36 -10.82 8.85 42.66 0.77 21 4,525,465 12.01
12. could could Verb 20 -9.45 7.01 29.07 0.74 16 6,831,995 7.96
13. take take
taken
takes
taking
took
Verb 23 -9.28 7.49 29.75 0.78 19 5,808,505 9.36
14. mean means
meant
Verb 5 -9.02 2.31 16.25 0.56 5 18,511,343 2.94
15. should Should Verb 12 -8.78 5.35 22.03 0.66 10 11,464,653 4.74
16. may may Verb 14 -7.97 5.97 20.5 0.63 10 10,394,146 5.23
17. see saw
see
seen
sees
Verb 29 -7.97 8.41 26.03 0.68 16 7,082,658 7.68
18. want want
wanted
wanting
wants
Verb 10 -7.6 4.88 17.09 0.64 8 13,787,681 3.94
19. try tried
try
trying
Verb 5 -6.95 2.61 11.8 0.56 5 18,917,934 2.87
20. must must Verb 8 -6.78 4.24 13.62 0.66 8 10,003,487 5.43
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