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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:
Collocate's 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 're
's
are
be
been
being
is
was
were
Verb 355 -42.14 15.25 822.17 0.92 87 534,668 101.67
2. say said
say
saying
says
Verb 7 -30.85 1.95 77.16 0.63 7 12,982,916 4.19
3. do did
do
does
doing
Verb 21 -27.99 5.96 115.21 0.7 16 9,009,190 6.03
4. have 've
had
has
have
having
Verb 107 -24.07 11.75 194.22 0.88 58 1,157,326 46.97
5. go go
gone
went
Verb 10 -16.84 3.98 45.7 0.7 10 9,749,379 5.58
6. see saw
see
seeing
seen
Verb 8 -15.47 3.31 37.56 0.66 8 15,021,023 3.62
7. would 'd
would
Verb 18 -15.03 6.16 50.95 0.76 16 5,643,882 9.63
8. know know
known
Verb 8 -14.8 3.36 35.66 0.51 5 24,977,418 2.18
9. get get
gets
got
Verb 11 -14.65 4.48 40.33 0.61 8 14,176,330 3.83
10. could could Verb 7 -14.28 2.94 32.31 0.63 7 9,856,947 5.51
11. will will Verb 18 -12.87 6.33 41.95 0.71 13 10,247,324 5.3
12. come came
come
comes
Verb 7 -12.65 3.08 28.01 0.63 7 11,837,038 4.59
13. give Give
given
Verb 6 -11.84 2.63 24.29 0.53 5 20,368,719 2.67
14. take take
taken
taking
took
Verb 13 -9.86 5.5 26.41 0.68 10 12,191,943 4.46
15. can ca
can
Verb 25 -9.66 7.74 32.52 0.76 18 4,429,887 12.27
16. find find
Finding
FINDS
found
Verb 6 -8.49 3.01 16.27 0.53 5 15,314,502 3.55
17. should should Verb 9 -7.18 4.58 15.32 0.68 9 8,240,781 6.6
18. want want
wanted
wanting
wants
Verb 7 -6.61 3.81 12.58 0.63 7 10,021,248 5.42
19. may may Verb 12 -5.64 5.78 12.22 0.68 10 6,373,144 8.53
20. need need
needed
Verb 6 -4.9 3.59 8.04 0.53 5 18,236,850 2.98
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