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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
Verb 11 -50.94 2.89 165.84 0.66 9 14,849,255 3.66
2. be 're
's
are
be
been
being
is
was
were
Verb 463 -42.87 16.13 920.19 0.92 96 347,308 156.52
3. say said
say
saying
says
Verb 10 -30.62 3.23 90.11 0.64 8 9,967,788 5.45
4. have 'd
've
had
has
have
having
Verb 118 -28.65 11.9 251.67 0.88 58 1,594,801 34.09
5. get get
getting
got
Verb 6 -26.88 1.59 61.42 0.53 5 14,427,407 3.77
6. know knew
knowing
known
Verb 5 -24.64 1.06 51.28 0.56 5 21,676,612 2.51
7. would would Verb 13 -23.74 4.48 76.13 0.72 12 8,756,143 6.21
8. take take
taken
takes
taking
took
Verb 10 -15.35 4.09 40.83 0.66 9 10,848,841 5.01
9. will will Verb 20 -15.1 6.51 53.23 0.72 14 9,383,164 5.79
10. see saw
see
seen
Verb 12 -14.55 4.79 41.34 0.7 11 10,130,079 5.37
11. make made
make
makes
making
Verb 16 -13.67 5.86 43.05 0.77 16 5,278,082 10.3
12. go go
goes
going
gone
went
Verb 19 -13.14 6.49 43.83 0.74 15 6,006,316 9.05
13. could could Verb 12 -12.13 5 33.11 0.73 12 7,881,029 6.9
14. can ca
can
Verb 36 -8.73 9.04 31.71 0.8 26 5,285,454 10.28
15. come came
come
comes
coming
Verb 15 -8.72 6.11 23.69 0.74 14 5,922,674 9.18
16. use use
used
using
Verb 12 -8.32 5.4 20.56 0.58 8 18,683,752 2.91
17. work work
working
works
Verb 5 -7.09 2.58 12.11 0.56 5 25,526,072 2.13
18. must must Verb 7 -6.27 3.86 11.73 0.63 7 13,910,287 3.91
19. become became
become
becomes
Verb 7 -5.78 3.94 10.55 0.63 7 20,749,043 2.62
20. find find
finding
finds
found
Verb 13 -5.35 6.09 11.63 0.74 13 5,656,479 9.61
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