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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 'm
're
's
are
be
been
being
is
was
were
Verb 450 -32.5 16.29 625 0.82 79 726,286 74.85
2. say said
saying
says
Verb 7 -30.56 1.96 76.4 0.58 6 13,085,751 4.15
3. have 'd
've
had
has
have
having
Verb 113 -22.58 12 181.98 0.81 46 2,160,461 25.16
4. would 'd
would
Verb 10 -22.48 3.62 63.84 0.61 8 7,696,148 7.06
5. do did
do
does
doing
done
Verb 37 -18.25 8.42 87.03 0.74 21 4,421,328 12.29
6. could could Verb 5 -17.63 1.49 35.45 0.48 4 38,317,995 1.42
7. see see
seen
sees
Verb 7 -16.75 2.74 38.87 0.63 7 15,888,748 3.42
8. get get
gets
getting
got
Verb 17 -10.21 6.38 30.51 0.61 10 9,896,108 5.49
9. find find
finds
found
Verb 5 -9.65 2.23 17.65 0.56 5 21,618,754 2.51
10. will will Verb 26 -9.02 7.93 30.02 0.76 20 7,130,871 7.62
11. come came
Come
comes
Verb 11 -8.78 5.05 21.4 0.68 10 14,218,869 3.82
12. give gave
give
gives
giving
Verb 9 -8.57 4.39 19.24 0.64 8 10,743,958 5.06
13. should should Verb 8 -7.87 4.08 16.54 0.44 5 18,167,264 2.99
14. may may Verb 9 -7.42 4.54 16.01 0.64 8 13,569,724 4.01
15. can can Verb 34 -6.63 9.08 21.03 0.76 19 5,192,222 10.47
16. become became
become
becoming
Verb 5 -5.96 2.77 9.75 0.4 3 26,866,256 2.02
17. take take
taken
takes
taking
took
Verb 24 -4.93 8.17 12.28 0.78 20 4,302,196 12.64
18. must must Verb 7 -4.68 4.14 7.97 0.45 4 19,067,171 2.85
19. seem seem
seemed
seems
Verb 7 -3.62 4.37 5.56 0.63 7 16,079,784 3.38
20. follow follow
followed
following
Verb 5 -3.33 3.33 4.47 0.48 4 23,170,490 2.35
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