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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do do
does 		Verb 10 -34.66 3.06 104.98 0.58 7 17,169,962 3.17
2. be 'm
're
's
are
be
been
being
is
was
were 		Verb 366 -29 15.7 500.71 0.83 73 795,389 68.34
3. say said
say
saying
says 		Verb 7 -24.19 2.27 59.22 0.58 6 19,024,719 2.86
4. have 've
had
has
have 		Verb 97 -19.12 11.64 138.54 0.82 39 2,788,502 19.49
5. go go
goes
going
gone
went 		Verb 6 -18.25 2.09 40.15 0.6 6 13,835,866 3.93
6. could could Verb 6 -12.2 2.59 25.23 0.6 6 15,666,730 3.47
7. can can Verb 14 -11.95 5.55 34.81 0.71 12 6,895,909 7.88
8. take take
taken
takes
taking
took 		Verb 9 -9.97 4.23 23.32 0.64 8 10,491,490 5.18
9. see saw
see
seeing
seen 		Verb 12 -8.51 5.38 21.27 0.58 8 10,212,547 5.32
10. give gave
give
given
gives
giving 		Verb 8 -7.09 4.19 14.48 0.61 7 20,560,880 2.64
11. must must Verb 5 -4.77 3 7.31 0.56 5 17,137,684 3.17
12. will will Verb 35 -3.92 9.53 9.43 0.76 20 6,100,735 8.91
13. would 'd
would 		Verb 45 -3.06 10.44 6.58 0.79 27 3,230,696 16.83
14. may may Verb 14 -3.01 6.76 5.07 0.66 10 14,512,402 3.75
15. should should Verb 14 -2.8 6.81 4.51 0.59 10 19,116,511 2.84
16. bring bring
brought 		Verb 5 -2.01 3.72 2.14 0.48 4 22,545,532 2.41
17. follow following
follows 		Verb 6 -1.65 4.43 1.64 0.6 6 12,360,519 4.4
18. need need
needed
needs 		Verb 10 -1.4 6.12 1.36 0.61 7 18,442,651 2.95
19. show show
shown
shows 		Verb 10 -0.99 6.25 0.75 0.54 7 18,469,995 2.94
20. provide provide
provided
provides
Providing 		Verb 9 -0.75 6.02 0.45 0.58 7 20,146,400 2.7
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