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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. create create
created
creating
Verb 9 2.25 8.34 20.3 0.61 7 13,920,221 3.91
2. sit sat
sit
Verb 5 0.92 5.41 1.44 0.17 2 40,510,635 1.34
3. tell tell
tells
told
Verb 7 -0.26 5.48 0.06 0.58 6 14,862,541 3.66
4. become became
become
becoming
Verb 6 -0.38 4.96 0.13 0.53 5 27,997,205 1.94
5. may may Verb 10 -0.58 6.4 0.29 0.64 8 10,724,245 5.07
6. work work
working
works
Verb 5 -0.67 4.27 0.34 0.56 5 18,139,256 3
7. use use
used
uses
using
Verb 8 -1.66 5.33 1.76 0.61 7 13,217,897 4.11
8. make made
make
makes
making
Verb 11 -3.32 5.92 5.59 0.71 11 6,748,812 8.05
9. give gave
give
given
gives
Verb 5 -3.64 3.25 5.09 0.48 4 23,211,579 2.34
10. could could Verb 5 -5.28 2.89 8.4 0.56 5 16,181,271 3.36
11. can can Verb 7 -7.75 3.64 15.61 0.63 7 17,403,455 3.12
12. will will Verb 6 -8.67 2.99 16.92 0.53 5 13,660,093 3.98
13. would would Verb 5 -11.48 2.03 22.02 0.48 4 19,877,130 2.73
14. have had
has
have
having
Verb 46 -12.91 9.51 64.01 0.83 32 2,677,475 20.3
15. do did
do
does
doing
Verb 5 -22.81 1.16 48.54 0.56 5 17,444,594 3.12
16. be are
be
been
Being
is
was
were
Verb 114 -29.7 11.75 349.42 0.84 56 1,343,343 40.47
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