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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 299 -77.05 14 1,630.57 0.89 81 642,634 84.59
2. do did
do
does
Verb 8 -72.09 1.27 205.14 0.66 8 10,261,626 5.3
3. say said
say
Verb 6 -48.91 0.78 117.13 0.43 4 16,082,294 3.38
4. have had
has
have
having
Verb 86 -45.23 10.3 388.19 0.87 47 1,598,281 34.01
5. can ca
can
Verb 5 -44.3 0.26 96.38 0.56 5 11,675,686 4.66
6. would would Verb 7 -41.23 1.56 105.04 0.58 6 15,984,666 3.4
7. go go
going
Verb 6 -34.22 1.27 79.71 0.6 6 19,443,053 2.8
8. make made
make
makes
Verb 9 -24.75 3.13 67.38 0.68 9 9,991,688 5.44
9. come came
coming
Verb 7 -19.07 2.58 44.85 0.63 7 9,292,745 5.85
10. take Take
taken
taking
took
Verb 10 -18.64 3.86 51.12 0.7 10 10,540,364 5.16
11. will will Verb 20 -18.57 6.28 68.41 0.77 18 4,806,905 11.31
12. see saw
see
seeing
seen
Verb 14 -15.9 5.22 48.9 0.73 13 6,725,530 8.08
13. give gave
give
given
Verb 8 -14.74 3.36 35.36 0.57 6 16,679,646 3.26
14. should should Verb 7 -13.74 2.98 30.75 0.63 7 14,790,168 3.68
15. may may Verb 8 -13 3.52 30.49 0.61 7 10,848,463 5.01
16. could could Verb 15 -12.55 5.73 37.63 0.74 14 7,050,699 7.71
17. show show
showed
showing
shown
Verb 5 -8.17 2.42 14.42 0.56 5 15,027,259 3.62
18. provide provide
provided
provides
providing
Verb 6 -5.69 3.44 9.79 0.6 6 16,634,390 3.27
19. leave leave
leaves
leaving
left
Verb 9 -5 4.92 9.44 0.68 9 11,559,380 4.7
20. include include
includes
Verb 5 -3.99 3.17 5.73 0.56 5 22,309,062 2.44
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