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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:
Collocate's part of speech:
excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 12 -56.75 3.05 193.7 0.68 10 7,015,831 7.75
2. be 's
are
be
been
being
is
was
were 		Verb 584 -42.28 16.92 974.23 0.8 78 738,645 73.59
3. say said
say
saying
says 		Verb 9 -38.28 2.56 109.32 0.64 8 9,857,856 5.51
4. have 've
had
has
have
having 		Verb 116 -35.42 11.62 326.28 0.8 42 1,949,213 27.89
5. get get
got 		Verb 5 -35 0.59 74.89 0.48 4 30,419,838 1.79
6. take take
taken
taking
took 		Verb 5 -28.11 0.88 59.07 0.56 5 22,989,619 2.36
7. give give
given
gives 		Verb 5 -19.64 1.35 39.85 0.48 4 22,677,458 2.4
8. use using Verb 5 -18.92 1.4 38.23 0.48 4 23,072,769 2.36
9. see see
seen 		Verb 14 -15.59 5.25 47.77 0.59 8 13,613,742 3.99
10. find find
found 		Verb 6 -12.84 2.53 26.62 0.38 3 27,693,746 1.96
11. make made
make
making 		Verb 22 -12.78 7.02 44.61 0.58 10 7,902,808 6.88
12. would would Verb 39 -12.05 9.02 50.8 0.79 25 3,555,177 15.29
13. might might Verb 5 -8.1 2.44 14.26 0.48 4 33,190,442 1.64
14. show show
showed
shown 		Verb 5 -8.01 2.45 14.07 0.34 3 32,342,725 1.68
15. could could Verb 24 -7.88 7.79 24.12 0.72 17 6,740,057 8.07
16. can can Verb 48 -7.86 10.08 29.56 0.62 18 5,838,078 9.31
17. will will Verb 54 -6.46 10.6 22.68 0.74 26 3,467,532 15.68
18. must must Verb 10 -5.48 5.19 11.06 0.66 9 8,697,865 6.25
19. mean mean
means
meant 		Verb 9 -5.43 4.85 10.56 0.64 8 10,393,902 5.23
20. follow follow
following
follows 		Verb 7 -3.98 4.29 6.35 0.49 5 23,430,722 2.32
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