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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 'm
're
's
are
be
been
being
is
was
were
Verb 536 -42.06 16.64 941.01 0.83 87 573,436 94.8
2. say said
say
says
Verb 9 -35.81 2.65 101.76 0.64 8 14,223,573 3.82
3. have 'd
've
had
has
have
having
Verb 122 -31.3 11.92 285.02 0.81 45 1,852,090 29.35
4. go go
goes
going
gone
went
Verb 10 -23.12 3.59 65.55 0.66 9 8,495,436 6.4
5. do did
do
does
doing
Verb 46 -22.13 8.96 120.12 0.73 23 4,787,278 11.35
6. get get
gets
Getting
Verb 10 -21.6 3.68 60.63 0.66 9 13,678,599 3.97
7. come came
come
comes
Verb 5 -21.54 1.23 44.17 0.56 5 34,643,881 1.57
8. know knew
know
knowing
Known
Verb 8 -20.33 2.97 51.23 0.61 7 16,266,709 3.34
9. would would Verb 20 -19.55 6.22 72.91 0.69 15 7,592,092 7.16
10. could could Verb 10 -15.45 4.09 41.1 0.66 9 8,885,715 6.12
11. see saw
See
Verb 14 -14.43 5.33 43.55 0.71 12 8,157,806 6.66
12. want want
wants
Verb 5 -12.15 1.96 23.11 0.48 4 16,247,332 3.35
13. can can Verb 30 -12.1 8.13 46.65 0.77 20 5,503,993 9.88
14. take take
takes
taking
took
Verb 16 -11.95 6 36.33 0.74 14 7,092,840 7.66
15. find find
found
Verb 6 -11.92 2.62 24.42 0.48 4 16,337,483 3.33
16. make made
make
makes
making
Verb 23 -11.27 7.3 38.56 0.76 18 8,939,459 6.08
17. become became
become
becomes
Verb 6 -7.47 3.15 13.85 0.53 5 16,814,566 3.23
18. might might Verb 6 -6.42 3.31 11.44 0.6 6 12,637,526 4.3
19. mean mean
means
meant
Verb 7 -6.34 3.85 11.91 0.63 7 13,107,821 4.15
20. will will Verb 53 -5.82 10.61 19.24 0.75 26 4,164,186 13.05
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