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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. say said
say 		Verb 8 -33.2 2.33 88.84 0.57 6 16,568,397 3.28
2. do did
do
does 		Verb 22 -31.91 5.95 136.41 0.77 19 4,640,394 11.71
3. be 're
's
are
be
been
being
is
was
were 		Verb 616 -28.43 17.43 564.42 0.89 94 336,714 161.44
4. get getting
got 		Verb 5 -28.41 0.87 59.95 0.34 3 47,486,080 1.14
5. have 've
had
has
have
having 		Verb 128 -24.88 12.32 215.76 0.86 61 1,116,293 48.7
6. go go
goes
went 		Verb 7 -24.86 2.24 60.57 0.58 6 11,989,458 4.53
7. see saw
see
seen 		Verb 10 -15.66 4.07 41.84 0.66 9 15,705,077 3.46
8. come came
coming 		Verb 7 -14.95 2.88 34 0.63 7 17,735,771 3.06
9. give give
given
giving 		Verb 7 -12.57 3.09 27.77 0.63 7 14,072,724 3.86
10. can can Verb 25 -11.86 7.53 42.63 0.64 15 8,987,620 6.05
11. make made
make
makes
making 		Verb 18 -11.65 6.43 36.87 0.74 15 7,028,147 7.73
12. could could Verb 12 -11.41 5.07 30.72 0.7 11 8,867,585 6.13
13. want want
wanted
wants 		Verb 6 -9.05 2.94 17.57 0.6 6 17,927,209 3.03
14. find find
finding
found 		Verb 7 -9 3.48 18.56 0.63 7 9,731,426 5.59
15. will will Verb 37 -7.64 9.24 26.46 0.76 25 3,829,915 14.19
16. would would Verb 44 -7.54 9.82 27.28 0.79 27 3,354,272 16.21
17. leave leave
leaving
left 		Verb 5 -6.46 2.68 10.8 0.56 5 15,670,161 3.47
18. use use
used
using 		Verb 18 -4.94 7.23 11.38 0.51 9 13,078,412 4.16
19. should should Verb 17 -4.39 7.13 9.43 0.72 14 7,804,235 6.97
20. follow follow
followed
Following
follows 		Verb 5 -4.22 3.11 6.19 0.48 4 17,828,563 3.05
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