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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
done 		Verb 10 -62.55 2.27 196.85 0.66 9 8,662,688 6.28
2. be 's
are
be
been
being
is
was
were 		Verb 382 -62.31 15.09 1,389.06 0.88 85 572,791 94.9
3. say said
say
says 		Verb 5 -52.93 0.02 116.6 0.56 5 15,395,595 3.53
4. can can Verb 8 -33.25 2.33 88.58 0.57 6 18,937,412 2.87
5. have 've
had
has
have
having 		Verb 134 -31.24 12.25 294.3 0.87 59 1,234,135 44.05
6. would would Verb 12 -29.4 3.92 93.35 0.7 11 7,641,341 7.11
7. go go
goes
gone
went 		Verb 10 -24.69 3.5 70.54 0.64 8 9,126,920 5.96
8. take take
taken
takes
taking
took 		Verb 8 -21.07 2.92 53.31 0.61 7 15,447,436 3.52
9. could could Verb 8 -19.22 3.04 48.03 0.61 7 10,795,471 5.04
10. will will Verb 20 -18.13 6.31 66.45 0.66 12 9,162,892 5.93
11. know knew
know
known 		Verb 12 -16.57 4.64 48.2 0.7 11 10,096,343 5.38
12. make made
Make
makes
making 		Verb 16 -16.41 5.65 53.69 0.75 15 10,241,695 5.31
13. give gave
give
given
gives
giving 		Verb 8 -14.4 3.39 34.41 0.61 7 15,677,618 3.47
14. use use
used
using 		Verb 8 -13.84 3.44 32.83 0.61 7 15,046,231 3.61
15. come came
come
comes
coming 		Verb 11 -13.67 4.56 36.93 0.66 9 8,477,618 6.41
16. should should Verb 7 -13.42 3.01 29.93 0.63 7 13,609,873 3.99
17. may may Verb 9 -11.64 4.05 28.02 0.64 8 11,187,904 4.86
18. see saw
see
seeing
seen 		Verb 27 -8.67 8.09 28.61 0.8 22 5,005,665 10.86
19. find find
found 		Verb 10 -8.63 4.74 20.15 0.7 10 6,918,233 7.86
20. leave left Verb 5 -8.3 2.41 14.69 0.48 4 27,318,213 1.99
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