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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
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were
Verb 221 -30.88 13.95 464.24 0.88 76 985,851 55.14
2. do Did
do
does
Verb 8 -28.4 2.54 76.37 0.61 7 10,029,876 5.42
3. have 've
had
has
have
Verb 47 -23.88 8.94 141.81 0.83 34 2,447,107 22.21
4. would would Verb 18 -7.16 6.91 19.55 0.67 14 5,749,030 9.46
5. could could Verb 8 -6.54 4.27 13.1 0.61 7 13,742,975 3.96
6. make made
make
makes
making
Verb 13 -6.02 5.98 13.81 0.7 11 11,896,545 4.57
7. see saw
see
seen
Verb 11 -5.92 5.44 12.77 0.66 9 9,873,132 5.51
8. come came
come
comes
Verb 8 -5.64 4.42 10.75 0.61 7 13,093,180 4.15
9. use use
used
using
Verb 7 -4.93 4.1 8.57 0.45 4 19,617,947 2.77
10. will will Verb 21 -4.79 7.75 11.47 0.69 14 5,136,965 10.58
11. give gave
give
given
giving
Verb 8 -4.5 4.63 7.89 0.66 8 10,337,910 5.26
12. must must Verb 5 -2.94 3.43 3.76 0.56 5 14,279,860 3.81
13. need need
needed
needing
needs
Verb 5 -2.53 3.55 3.01 0.56 5 15,302,308 3.55
14. can can Verb 30 -2.44 9.28 4.22 0.68 16 5,658,607 9.61
15. may may Verb 13 -1.57 6.88 1.74 0.68 11 10,500,087 5.18
16. show show
showed
showing
shown
shows
Verb 6 -1.51 4.48 1.42 0.53 5 17,617,282 3.09
17. follow followed
following
follows
Verb 5 -1.08 4.07 0.79 0.56 5 26,657,646 2.04
18. start started
starting
Verb 5 -0.73 4.24 0.41 0.56 5 13,027,495 4.17
19. begin began
begin
begun
Verb 6 -0.26 5.02 0.06 0.6 6 13,211,277 4.11
20. bring bring
brings
brought
Verb 7 -0.01 5.61 0 0.63 7 23,780,953 2.29
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