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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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excelSpreadsheet
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 587 -37.33 17.05 821.81 0.91 96 328,866 165.29
2. do did
do
does
doing
done
Verb 41 -23.85 8.47 125.88 0.82 30 2,708,808 20.07
3. can can Verb 16 -19.78 5.43 67.27 0.71 13 8,553,834 6.35
4. get get
getting
got
Verb 12 -18.86 4.48 56.19 0.7 11 7,148,445 7.6
5. have 'd
've
had
has
have
Verb 201 -18.42 14.1 164.52 0.87 69 1,069,446 50.83
6. know knew
know
known
Verb 11 -16.19 4.36 45.24 0.71 11 8,505,631 6.39
7. say said
say
saying
says
Verb 30 -15.52 7.88 64.51 0.75 19 5,585,056 9.73
8. go go
going
gone
went
Verb 18 -15.11 6.15 51.02 0.76 16 5,111,010 10.64
9. think think
thinks
thought
Verb 9 -14.39 3.8 36.15 0.68 9 10,102,350 5.38
10. will will
wo
Verb 25 -13.85 7.37 51.97 0.81 23 4,526,797 12.01
11. make made
make
makes
making
Verb 20 -12.54 6.72 42.08 0.75 17 4,104,960 13.24
12. use use
used
using
Verb 9 -11.65 4.05 28.07 0.61 7 13,159,269 4.13
13. take take
taken
takes
taking
took
Verb 17 -11.16 6.28 34.09 0.75 15 8,202,597 6.63
14. would would Verb 39 -10.75 9.13 43.51 0.82 28 2,556,672 21.26
15. want want
wanted
wants
Verb 6 -10.52 2.77 21.06 0.6 6 14,607,600 3.72
16. see saw
see
seen
sees
Verb 21 -10.08 7.11 32.23 0.77 18 4,808,435 11.31
17. could could Verb 20 -8.53 7.1 25.35 0.77 18 6,072,062 8.95
18. show show
showed
showing
Verb 5 -7.28 2.55 12.52 0.56 5 15,272,231 3.56
19. may may Verb 14 -7.2 6.07 17.89 0.63 10 11,513,167 4.72
20. find find
Finds
found
Verb 11 -7.17 5.26 16.39 0.71 11 8,085,745 6.72
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