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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 did
do
does
done 		Verb 11 -55.98 2.76 183.25 0.71 11 6,163,867 8.82
2. have had
has
have
having 		Verb 64 -50.64 9.13 390.13 0.86 42 1,748,549 31.09
3. say said
say 		Verb 5 -49.98 0.1 109.82 0.56 5 32,624,304 1.67
4. be 'm
's
are
be
been
being
is
was
were 		Verb 643 -34.35 17.42 750.86 0.89 92 405,604 134.02
5. would would Verb 18 -21.15 5.76 76.59 0.74 15 6,307,378 8.62
6. could could Verb 8 -18.04 3.12 44.7 0.66 8 17,081,369 3.18
7. see see
seeing
seen 		Verb 11 -17.24 4.29 48.71 0.68 10 8,027,658 6.77
8. think think
thinks 		Verb 8 -15.89 3.27 38.62 0.66 8 11,642,413 4.67
9. find find
finds
found 		Verb 8 -9.65 3.86 21.29 0.66 8 8,576,672 6.34
10. must must Verb 6 -8.07 3.07 15.26 0.53 5 15,271,607 3.56
11. give gave
give
given
gives
giving 		Verb 15 -8.04 6.19 21.22 0.72 13 8,230,269 6.6
12. will will Verb 43 -8.03 9.7 29.62 0.65 22 3,560,957 15.27
13. become became
become
becomes 		Verb 6 -7.49 3.15 13.92 0.53 5 14,725,298 3.69
14. need need
needed
needs 		Verb 6 -7.23 3.19 13.3 0.6 6 29,035,779 1.87
15. might might Verb 7 -5.59 3.98 10.09 0.58 6 12,530,135 4.34
16. can can Verb 60 -4.72 11.13 14.15 0.85 43 2,148,815 25.3
17. should should Verb 21 -4.19 7.85 9.27 0.73 16 6,263,054 8.68
18. may may Verb 23 -3.87 8.19 8.36 0.78 19 4,646,955 11.7
19. set set
sets 		Verb 6 -3.42 3.91 4.89 0.53 5 17,766,684 3.06
20. seem seem
seemed
seems 		Verb 11 -3.32 5.92 5.55 0.66 9 11,815,878 4.6
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