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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. do did
do
does
doing 		Verb 10 -48.62 2.61 150.93 0.7 10 9,050,313 6.01
2. be 's
are
be
been
being
is
was
were 		Verb 412 -41.81 15.76 856.12 0.91 89 518,058 104.93
3. have 've
had
has
have
having 		Verb 78 -35.4 10.25 279 0.85 43 2,243,994 24.22
4. say said
say
saying
says 		Verb 12 -24.6 4.15 76.69 0.66 10 13,863,330 3.92
5. can can Verb 15 -16.89 5.39 54.38 0.74 14 6,344,586 8.57
6. get get
getting
got 		Verb 11 -16.4 4.35 46.04 0.68 10 8,179,525 6.65
7. see saw
see 		Verb 10 -14.79 4.14 39.14 0.58 7 11,396,045 4.77
8. go go
going
gone
went 		Verb 15 -14.05 5.6 43.47 0.68 11 9,454,872 5.75
9. use use
used
using 		Verb 6 -12.72 2.54 26.38 0.43 4 17,054,283 3.19
10. will will Verb 22 -12.29 7.06 42.64 0.75 17 4,396,904 12.36
11. come came
come
comes
coming 		Verb 13 -8.71 5.63 22.48 0.72 12 6,733,505 8.07
12. would 'd
would 		Verb 42 -7.36 9.69 26 0.8 27 2,802,439 19.4
13. make made
make
makes
making 		Verb 27 -7.18 8.26 22.04 0.78 20 6,343,284 8.57
14. could could Verb 21 -6.14 7.56 16.34 0.76 17 6,025,461 9.02
15. may may Verb 14 -5.51 6.31 12.38 0.66 10 8,000,638 6.79
16. show show
showed
showing 		Verb 6 -4.89 3.59 8.03 0.53 5 18,955,968 2.87
17. take take
taken
takes
taking
took 		Verb 29 -4.51 8.84 11.22 0.78 21 4,107,476 13.23
18. keep keeping
kept 		Verb 5 -4.43 3.07 6.62 0.56 5 19,093,752 2.85
19. leave leave
leaving
left 		Verb 7 -4.37 4.21 7.24 0.49 5 13,627,356 3.99
20. might might Verb 10 -2.58 5.78 3.67 0.61 7 10,702,174 5.08
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