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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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MI3
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
Verb 9 -22.75 3.24 63.02 0.64 8 10,642,839 5.11
2. be 'm
're
's
are
be
been
being
is
was
were
Verb 274 -19.37 15.08 259.01 0.9 82 617,983 87.96
3. have 'd
had
has
have
having
Verb 81 -11.47 11.49 64.5 0.85 42 2,149,296 25.29
4. make made
make
making
Verb 5 -11.33 2.04 21.53 0.56 5 13,581,013 4
5. go goes
gone
went
Verb 6 -10.92 2.72 22.25 0.48 4 22,987,934 2.36
6. can can Verb 10 -8.83 4.72 21.01 0.7 10 7,679,128 7.08
7. will will Verb 10 -8.72 4.73 20.67 0.61 8 10,129,118 5.37
8. say said
SAY
says
Verb 18 -6.57 6.99 17.37 0.58 9 12,553,139 4.33
9. could could Verb 7 -6.12 3.89 11.44 0.58 6 20,196,586 2.69
10. take take
taking
took
Verb 8 -6.05 4.35 11.84 0.61 7 16,329,040 3.33
11. use use
used
using
Verb 5 -5.6 2.83 9.04 0.56 5 12,146,525 4.48
12. know knew
know
knowing
known
Verb 9 -5.6 4.82 11.1 0.68 9 8,731,149 6.23
13. come came
come
comes
Verb 7 -5.27 4.03 9.39 0.63 7 16,287,366 3.34
14. think think
thinks
thought
Verb 7 -5.21 4.04 9.26 0.63 7 16,376,670 3.32
15. would would Verb 20 -4.99 7.56 12.05 0.73 15 6,096,369 8.92
16. see saw
see
seen
sees
Verb 12 -4.27 6.01 8.29 0.68 10 9,980,872 5.45
17. get get
GETS
got
Verb 16 -3.71 7.05 7.27 0.74 14 6,938,781 7.83
18. want want
wanted
wants
Verb 8 -1.65 5.34 1.73 0.57 6 13,151,478 4.13
19. might might Verb 5 -1.59 3.87 1.49 0.56 5 12,109,886 4.49
20. must must Verb 7 -1.18 5.08 0.97 0.53 5 20,503,332 2.65
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