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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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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 22 -38.31 5.72 167.4 0.77 18 8,580,457 6.34
2. be 'm
're
's
am
are
be
been
being
is
was
were 		Verb 609 -38.25 17.15 859.71 0.86 88 455,202 119.42
3. make made
make
making 		Verb 10 -21.89 3.66 61.56 0.7 10 11,795,975 4.61
4. have 'd
've
had
has
have
Having 		Verb 188 -21.38 13.75 199.18 0.88 66 970,572 56.01
5. say said
say
saying
says 		Verb 26 -18.39 7.2 75.35 0.79 22 4,398,675 12.36
6. know know
knowing
known 		Verb 10 -18.14 3.89 49.59 0.58 7 18,076,318 3.01
7. look look
looked
looking 		Verb 5 -16.18 1.6 32.09 0.48 4 22,550,464 2.41
8. would would Verb 27 -16.07 7.48 64.66 0.79 21 4,845,420 11.22
9. come came
come 		Verb 10 -14.13 4.19 36.96 0.66 9 8,753,078 6.21
10. tell tell
telling
told 		Verb 5 -10.15 2.17 18.72 0.56 5 17,335,757 3.14
11. find find
finding
found 		Verb 8 -9.97 3.82 22.16 0.61 7 13,282,422 4.09
12. could could Verb 19 -9.53 6.82 28.88 0.73 15 6,166,613 8.82
13. see saw
see
seen 		Verb 26 -8.62 7.97 28.04 0.78 20 5,724,016 9.5
14. should should Verb 12 -8.45 5.39 20.94 0.58 7 15,503,496 3.51
15. use use
used
uses
using 		Verb 15 -7.94 6.2 20.89 0.71 13 5,887,931 9.23
16. can ca
can 		Verb 48 -7.37 10.12 26.89 0.78 27 3,105,392 17.5
17. show show
showed
showing
shown 		Verb 6 -6.6 3.29 11.84 0.6 6 17,115,086 3.18
18. need need Verb 7 -6.54 3.82 12.4 0.58 6 11,099,237 4.9
19. must must Verb 8 -6.52 4.28 12.93 0.57 6 20,503,261 2.65
20. may may Verb 17 -6.21 6.85 15.55 0.71 13 7,252,878 7.49
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