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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
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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
am
are
be
been
being
is
was
were
Verb 533 -74.84 16.03 1,979.1 0.94 98 282,970 192.1
2. say said
say
says
Verb 8 -58.81 1.55 162.98 0.61 7 18,948,773 2.87
3. do did
do
does
done
Verb 34 -44.53 7.06 240.1 0.8 25 3,669,454 14.81
4. go go
goes
going
gone
went
Verb 8 -41.18 2.04 111.09 0.66 8 14,716,543 3.69
5. have 've
had
has
have
Having
Verb 175 -39.72 12.9 439.71 0.91 76 722,387 75.25
6. would 'd
would
Verb 21 -30.53 5.85 124.64 0.77 18 7,759,991 7.01
7. think think
thinking
Verb 6 -29.83 1.45 68.36 0.53 5 13,867,488 3.92
8. take taken
takes
taking
took
Verb 9 -28.84 2.93 79.54 0.58 7 14,731,472 3.69
9. get get
getting
got
Verb 16 -25.31 5.13 89.01 0.72 13 11,237,648 4.84
10. can ca
can
Verb 31 -20.33 7.69 90.85 0.82 26 3,249,824 16.73
11. look look
looking
looks
Verb 7 -20.02 2.52 47.22 0.63 7 20,681,047 2.63
12. want want
wanted
Verb 5 -19.31 1.38 38.99 0.56 5 20,512,210 2.65
13. come came
come
comes
coming
Verb 13 -18.48 4.79 56.43 0.72 12 6,524,887 8.33
14. will will Verb 36 -17.81 8.35 81.67 0.81 27 4,892,835 11.11
15. see see
seen
sees
Verb 22 -17.02 6.71 63.57 0.71 15 5,498,326 9.89
16. know knew
know
knowing
known
knows
Verb 22 -16.22 6.76 59.92 0.75 19 4,478,528 12.14
17. tell tell
telling
tells
Verb 5 -15.8 1.63 31.15 0.56 5 23,231,932 2.34
18. should should Verb 11 -14.79 4.47 40.46 0.71 11 7,583,546 7.17
19. could could Verb 25 -12.63 7.47 45.84 0.76 20 4,349,480 12.5
20. make made
make
makes
making
Verb 38 -12.55 8.89 52.8 0.83 31 2,553,287 21.29
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