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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 411 -30.77 16.03 563.3 0.91 88 444,756 122.22
2. do did
do
does
doing 		Verb 17 -28.47 5.19 107.21 0.7 12 9,275,402 5.86
3. have had
has
have
having 		Verb 103 -21.44 11.73 164.68 0.88 63 1,148,980 47.31
4. get get
got 		Verb 8 -16.14 3.25 39.54 0.61 7 18,805,612 2.89
5. make made
make
makes
making 		Verb 10 -13.53 4.24 35.3 0.7 10 11,380,673 4.78
6. know know
knowing
known 		Verb 8 -13.04 3.51 30.77 0.66 8 10,302,382 5.28
7. could could Verb 7 -12.6 3.09 27.92 0.58 6 19,986,492 2.72
8. can can Verb 21 -9.82 7.13 31.35 0.73 16 5,575,252 9.75
9. find find
found 		Verb 7 -6.47 3.83 12.26 0.58 6 14,765,399 3.68
10. would would Verb 36 -6.27 9.31 19.7 0.66 21 4,401,056 12.35
11. might might Verb 5 -4.42 3.07 6.6 0.56 5 13,281,540 4.09
12. become became
become
becomes 		Verb 7 -3.65 4.36 5.62 0.38 4 22,935,157 2.37
13. will will Verb 44 -3.22 10.35 7.14 0.75 27 3,261,474 16.67
14. should should Verb 18 -2.24 7.73 3.31 0.74 15 7,999,551 6.8
15. may may Verb 20 -1.88 8.14 2.51 0.72 15 5,809,401 9.36
16. use use
used
using 		Verb 24 -1.32 8.82 1.39 0.77 19 4,961,164 10.96
17. change change
changed
changing 		Verb 5 -0.75 4.23 0.42 0.56 5 25,570,540 2.13
18. base based
basing 		Verb 5 0.08 4.69 0.01 0.56 5 28,187,746 1.93
19. explain explain
explaining
explains 		Verb 5 0.14 4.74 0.02 0.48 4 16,198,480 3.36
20. develop develop
developed 		Verb 7 0.44 5.87 0.23 0.63 7 20,147,632 2.7
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