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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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# 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 302 -50.25 14.52 972.28 0.84 83 581,807 93.43
2. do did
do
does 		Verb 12 -40.61 3.5 135.49 0.7 11 10,465,535 5.19
3. have 've
had
has
have
having 		Verb 94 -27.86 11.16 223.49 0.86 51 1,503,042 36.17
4. say said
say 		Verb 9 -27.21 3.01 75.48 0.68 9 10,112,984 5.38
5. would would Verb 9 -24.88 3.12 68.24 0.64 8 10,259,710 5.3
6. can can Verb 8 -23.68 2.77 61.13 0.57 6 33,538,710 1.62
7. go go
gone
went 		Verb 8 -20.05 2.98 50.64 0.61 7 11,719,490 4.64
8. take take
taken
taking
took 		Verb 6 -17.82 2.12 38.94 0.6 6 21,130,495 2.57
9. see saw
see
seen 		Verb 8 -15.89 3.27 38.74 0.61 7 14,220,776 3.82
10. make made
make
makes
making 		Verb 11 -14.76 4.47 40.69 0.71 11 6,915,366 7.86
11. could could Verb 7 -14.67 2.9 33.33 0.58 6 12,311,251 4.42
12. will will Verb 17 -13.89 6.05 45.11 0.73 14 7,773,074 6.99
13. give give
given
gives 		Verb 5 -13.78 1.8 26.78 0.56 5 15,280,252 3.56
14. look look
looked
looks 		Verb 6 -10.28 2.79 20.51 0.6 6 13,927,940 3.9
15. may may Verb 10 -7.04 4.95 15.5 0.46 6 12,740,844 4.27
16. become became
become
becomes 		Verb 5 -6.22 2.72 10.29 0.56 5 16,959,249 3.21
17. find find
finding
found 		Verb 9 -6.14 4.73 12.46 0.61 7 17,433,705 3.12
18. tell tell
telling
told 		Verb 6 -6.11 3.36 10.75 0.6 6 11,561,750 4.7
19. use use
used
uses
using 		Verb 13 -6 5.99 13.65 0.72 12 9,370,966 5.8
20. should should Verb 13 -5.05 6.14 10.74 0.68 11 7,948,221 6.84
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