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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. do do
does 		Verb 9 -57.43 2.01 171.18 0.64 8 21,693,086 2.51
2. have had
has
have
having 		Verb 79 -39.76 10.16 322.13 0.8 45 2,071,032 26.25
3. be 're
's
are
be
been
being
is
was
were 		Verb 588 -33.31 17.15 700.36 0.86 90 460,728 117.99
4. say said
say
saying
says 		Verb 14 -25.02 4.67 83.62 0.62 9 9,181,426 5.92
5. know knew
know
known 		Verb 5 -24.84 1.05 51.73 0.56 5 14,193,256 3.83
6. go go
goes
going
gone 		Verb 8 -24.34 2.74 62.85 0.66 8 14,070,520 3.86
7. would would Verb 15 -21.77 5.09 73.34 0.68 11 8,738,151 6.22
8. get get
gets
Getting 		Verb 10 -19.73 3.79 54.72 0.58 7 12,621,560 4.31
9. see see
seen
sees 		Verb 8 -19.4 3.03 48.63 0.57 6 14,072,166 3.86
10. take Take
taken
takes
taking
took 		Verb 13 -12.75 5.22 36.36 0.66 10 9,828,806 5.53
11. think think
thinking
thought 		Verb 10 -12.27 4.36 31.23 0.66 9 10,205,224 5.33
12. make made
make
makes
making 		Verb 20 -11.45 6.81 37.48 0.76 17 5,543,982 9.81
13. use use
used
using 		Verb 10 -9.84 4.6 23.8 0.52 6 17,552,422 3.1
14. find find
finding
found 		Verb 7 -9.65 3.4 20.21 0.63 7 9,598,536 5.66
15. could could Verb 16 -9.6 6.23 27.48 0.71 13 5,898,221 9.22
16. will will Verb 34 -9.29 8.8 34.01 0.68 19 5,006,599 10.86
17. come came
come
comes
coming 		Verb 15 -8.82 6.1 24.02 0.66 10 12,210,837 4.45
18. give gave
give
given
giving 		Verb 12 -8.81 5.34 22.14 0.66 10 8,249,782 6.59
19. mean mean
means 		Verb 6 -6.53 3.3 11.69 0.6 6 12,334,845 4.41
20. need need
needs 		Verb 6 -6.47 3.31 11.56 0.6 6 11,165,576 4.87
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