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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. draw draw
drawing
drawn
draws
drew
Verb 43 6.27 15.38 906.44 0.81 28 5,564,225 9.77
2. use use
used
uses
Using
Verb 34 4.01 11.85 51.92 0.79 25 3,727,517 14.58
3. suggest suggested
suggests
Verb 7 1.71 7.12 8.34 0.53 5 13,044,705 4.17
4. apply applied
apply
Verb 5 1.48 6.21 6.54 0.48 4 28,409,149 1.91
5. provide provide
provided
provides
providing
Verb 8 1.27 6.86 2.94 0.54 6 14,154,228 3.84
6. continue continue
continues
Verb 5 1.15 5.69 2.73 0.56 5 12,178,844 4.46
7. consider consider
considered
Verb 5 1.12 5.64 2.51 0.56 5 19,891,907 2.73
8. hold hold
holds
Verb 7 1.11 6.4 2.14 0.53 5 37,492,869 1.45
9. lead lead
leads
led
Verb 5 0.96 5.45 1.6 0.56 5 20,173,004 2.69
10. may may Verb 11 0.33 7.07 0.12 0.68 10 12,316,076 4.41
11. work work
worked
working
works
Verb 6 0.23 5.31 0.06 0.6 6 16,623,683 3.27
12. can can Verb 22 -0.21 8.85 0.04 0.75 17 7,402,668 7.34
13. must must Verb 5 -0.51 4.35 0.21 0.56 5 13,566,384 4.01
14. find find
finding
found
Verb 7 -0.53 5.35 0.24 0.63 7 16,994,883 3.2
15. make made
make
makes
making
Verb 12 -1.85 6.55 2.27 0.7 11 7,730,528 7.03
16. take take
takes
taking
took
Verb 7 -3.11 4.49 4.52 0.63 7 10,880,141 5
17. will will Verb 8 -5.23 4.49 9.8 0.61 7 17,740,828 3.06
18. would would Verb 8 -6.25 4.32 12.45 0.57 6 14,179,229 3.83
19. be 's
am
are
be
been
being
is
was
were
Verb 179 -13.58 13.96 137.04 0.89 66 1,132,561 48
20. do do
does
Verb 5 -18.71 1.42 39.07 0.56 5 14,852,172 3.66
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