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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 5 -45.17 0.24 100.59 0.56 5 18,126,129 3
2. be 'm
's
are
be
been
being
is
was
were 		Verb 241 -37.04 14.07 607.04 0.84 62 1,192,586 45.58
3. say said
says 		Verb 6 -23.24 1.78 52.86 0.6 6 18,848,935 2.88
4. have 've
had
has
have
having 		Verb 67 -22.7 10.22 152.29 0.81 37 2,486,588 21.86
5. would would Verb 10 -15.2 4.11 40.76 0.61 8 14,139,226 3.84
6. see see
seeing
seen 		Verb 7 -11.25 3.22 24.46 0.49 5 23,939,895 2.27
7. get get
getting
got 		Verb 9 -11.11 4.11 26.7 0.68 9 9,838,294 5.53
8. go go
goes
going
went 		Verb 12 -9.51 5.27 24.59 0.58 7 10,585,890 5.14
9. could could Verb 7 -9.38 3.43 19.61 0.58 6 22,523,240 2.41
10. come came
comes
coming 		Verb 6 -9.28 2.91 18.21 0.53 5 13,595,607 4
11. give gave
give
gives
giving 		Verb 6 -7.7 3.12 14.46 0.6 6 12,711,665 4.28
12. can can Verb 23 -6.06 7.87 16.57 0.69 13 7,388,320 7.36
13. take Take
taken
takes
taking
took 		Verb 13 -5.96 5.99 13.57 0.61 9 14,059,172 3.87
14. will will
wo 		Verb 26 -5.01 8.41 12.94 0.71 16 5,616,204 9.68
15. may may Verb 9 -4.47 5.02 8.09 0.68 9 10,073,160 5.4
16. make made
make
makes
making 		Verb 28 -2.58 9.04 4.54 0.69 16 5,857,195 9.28
17. should should Verb 13 -2.41 6.66 3.51 0.68 11 13,969,280 3.89
18. need need
needed
needs 		Verb 7 -2.18 4.75 2.63 0.49 5 26,219,745 2.07
19. put put
puts 		Verb 8 -1.93 5.25 2.23 0.57 6 13,945,926 3.9
20. bring bring
bringing
brought 		Verb 5 -1.53 3.89 1.4 0.56 5 19,324,705 2.81
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