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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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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
being
is
was
were 		Verb 166 -30.1 13.01 406.75 0.84 63 1,186,710 45.81
2. do did
do
does
doing
done 		Verb 15 -14.7 5.55 47.1 0.68 11 6,522,912 8.33
3. can can Verb 7 -10.7 3.28 23.2 0.53 5 17,157,533 3.17
4. have 've
had
has
have 		Verb 87 -9.07 11.91 46.48 0.85 43 1,905,628 28.53
5. go go
goes
going
went 		Verb 7 -8.88 3.49 18.44 0.58 6 14,364,998 3.78
6. come came
come
comes
coming 		Verb 5 -6.49 2.68 10.91 0.56 5 17,019,620 3.19
7. make made
make
making 		Verb 9 -6.42 4.69 13.35 0.61 7 14,182,872 3.83
8. say said
say
says 		Verb 17 -6.23 6.85 15.88 0.71 13 7,058,847 7.7
9. see see
seen 		Verb 8 -5.99 4.36 11.68 0.54 6 21,028,045 2.59
10. get get
gets
Getting
got 		Verb 10 -5.92 5.12 12.41 0.66 9 8,498,889 6.4
11. would would Verb 20 -4.34 7.67 9.79 0.69 12 9,858,072 5.51
12. find find
found 		Verb 5 -3.54 3.28 4.89 0.56 5 14,205,721 3.83
13. will will
wo 		Verb 20 -3.35 7.84 6.56 0.75 16 6,843,987 7.94
14. give gave
give
given
giving 		Verb 8 -3.14 4.92 4.71 0.61 7 15,063,025 3.61
15. take take
takes
taking
took 		Verb 13 -2.88 6.55 4.69 0.7 11 9,531,363 5.7
16. may may Verb 8 -2.55 5.07 3.44 0.66 8 8,574,471 6.34
17. could could Verb 15 -1.7 7.29 2.04 0.65 11 7,870,001 6.91
18. should should Verb 13 -0.47 7.22 0.2 0.62 10 10,885,360 4.99
19. use use
used
uses
using 		Verb 15 -0.34 7.69 0.11 0.74 14 4,956,012 10.97
20. include include
included
includes 		Verb 5 0.12 4.73 0.02 0.56 5 17,319,868 3.14
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