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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
are
be
been
being
is
was
were 		Verb 591 -39.88 17.01 902.62 0.85 88 583,773 93.12
2. say said
say
says 		Verb 10 -34.89 3.05 103.87 0.66 9 12,045,379 4.51
3. get get
got 		Verb 6 -30.59 1.42 70.62 0.53 5 17,883,176 3.04
4. do do
does
doing
done 		Verb 35 -28.35 7.72 145.06 0.81 28 4,350,034 12.5
5. have 've
had
has
have
having 		Verb 154 -26.55 12.88 250.43 0.85 52 1,709,176 31.8
6. go go
goes
gone
went 		Verb 9 -25.64 3.08 70.18 0.61 7 18,437,081 2.95
7. know know
known 		Verb 6 -25.19 1.67 57.08 0.53 5 23,457,602 2.32
8. would would Verb 18 -21.93 5.71 79.89 0.77 17 6,480,908 8.39
9. come came
comes 		Verb 6 -19.99 1.97 44.15 0.6 6 18,496,522 2.94
10. give gave
give
given 		Verb 6 -16.96 2.18 36.68 0.53 5 13,784,401 3.94
11. find find
finding
finds 		Verb 5 -14.04 1.78 27.3 0.56 5 14,121,301 3.85
12. make made
make
makes
making 		Verb 21 -12.79 6.86 43.92 0.73 15 11,589,791 4.69
13. could could Verb 16 -11.21 6.07 33.49 0.74 14 8,173,423 6.65
14. see saw
see
seen
sees 		Verb 24 -9.45 7.62 30.96 0.64 13 6,620,219 8.21
15. will will Verb 41 -8.99 9.45 34.38 0.8 28 2,799,993 19.41
16. mean means
meant 		Verb 6 -7.59 3.14 14.13 0.6 6 22,978,895 2.37
17. use use
used
uses
using 		Verb 17 -7.03 6.74 18.46 0.73 14 6,481,188 8.39
18. seem seem
seemed 		Verb 6 -6.82 3.25 12.35 0.6 6 13,434,135 4.05
19. show show
shown
shows 		Verb 7 -5.77 3.95 10.52 0.58 6 17,074,126 3.18
20. follow followed
following
follows 		Verb 5 -5.38 2.88 8.54 0.56 5 13,355,889 4.07
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