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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 12 -39.31 3.54 130.83 0.7 11 7,434,770 7.31
2. have had
has
have 		Verb 96 -26.27 11.29 209.1 0.88 60 1,149,267 47.3
3. be 'm
's
are
be
been
being
is
was
were 		Verb 596 -22.31 17.5 389.76 0.95 97 249,522 217.85
4. can ca
can 		Verb 9 -21.25 3.32 57.1 0.64 8 12,148,806 4.47
5. see see
seen 		Verb 5 -20.74 1.28 42.52 0.56 5 12,871,428 4.22
6. go going
went 		Verb 10 -16.7 3.99 45.24 0.7 10 13,502,021 4.03
7. take take
taken
Taking
took 		Verb 8 -14.21 3.41 34.02 0.66 8 15,511,318 3.5
8. say said
say
saying
says 		Verb 29 -10.95 8.12 40.58 0.81 24 3,451,473 15.75
9. would 'd
would 		Verb 27 -10.43 7.92 37.04 0.8 23 4,459,022 12.19
10. could could Verb 13 -8.73 5.63 22.57 0.66 10 8,349,469 6.51
11. will will Verb 28 -8.33 8.25 27.54 0.8 22 5,083,730 10.69
12. may may Verb 8 -8.24 4.03 17.52 0.66 8 8,557,293 6.35
13. find find
found 		Verb 7 -7.41 3.69 14.56 0.63 7 11,681,625 4.65
14. tell told Verb 5 -6.86 2.62 11.65 0.48 4 26,296,520 2.07
15. must must Verb 5 -6.45 2.69 10.77 0.48 4 21,665,427 2.51
16. should should Verb 11 -5.82 5.46 12.41 0.66 9 8,939,026 6.08
17. might might Verb 5 -5.11 2.93 7.98 0.56 5 26,766,732 2.03
18. ask ask
asked 		Verb 7 -3.42 4.42 5.12 0.63 7 18,100,371 3
19. bring bring
brought 		Verb 5 -3.03 3.41 3.91 0.56 5 15,800,352 3.44
20. seem seem
seemed
seeming
seems 		Verb 11 -1.69 6.33 1.9 0.66 9 10,225,975 5.32
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