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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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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
say
says
Verb 9 -38.02 2.57 108.54 0.64 8 14,745,930 3.69
2. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 661 -36.36 17.47 820.53 0.95 97 254,101 213.93
3. do did
do
does
doing
Verb 30 -32.37 7.03 158.52 0.82 27 3,080,748 17.64
4. see see
seeing
Verb 5 -29.91 0.8 63.19 0.48 4 19,646,392 2.77
5. can ca
can
Verb 11 -27.37 3.71 82.76 0.68 10 9,987,635 5.44
6. could could Verb 5 -25.58 1.01 53.32 0.56 5 16,876,037 3.22
7. would 'd
would
Verb 16 -24.39 5.17 85.88 0.75 15 6,477,628 8.39
8. will will Verb 13 -24.36 4.45 78.17 0.68 10 17,335,920 3.14
9. know knew
know
knowing
Verb 7 -23.52 2.31 56.78 0.63 7 13,569,280 4.01
10. take take
taken
takes
took
Verb 9 -19.48 3.43 51.37 0.64 8 12,718,385 4.27
11. have 've
had
has
have
having
Verb 230 -17.44 14.59 157.71 0.91 82 598,084 90.89
12. come came
come
comes
coming
Verb 8 -17.04 3.19 41.84 0.61 7 14,875,461 3.65
13. must must Verb 5 -9.91 2.2 18.19 0.48 4 33,980,640 1.6
14. want want
wanted
wanting
wants
Verb 8 -9.19 3.91 20.03 0.66 8 11,073,395 4.91
15. provide provide
provided
Verb 5 -6.49 2.68 10.84 0.56 5 18,509,960 2.94
16. seem seem
seems
Verb 7 -6.13 3.89 11.39 0.58 6 21,013,942 2.59
17. may may Verb 20 -5.32 7.51 13.06 0.79 19 4,324,072 12.57
18. might might Verb 8 -5.29 4.48 9.8 0.66 8 15,080,879 3.6
19. describe described Verb 5 -1.82 3.78 1.83 0.48 4 18,654,012 2.91
20. draw draw
drawn
draws
Verb 5 -1.46 3.92 1.3 0.56 5 20,280,330 2.68
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