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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 8 -66.88 1.38 189.76 0.61 7 22,441,952 2.42
2. have 'd
've
had
has
have
having 		Verb 93 -39.13 10.74 337.59 0.87 52 1,411,789 38.5
3. say said
say
saying
says 		Verb 11 -31.98 3.51 98.66 0.64 9 11,611,357 4.68
4. be 's
am
are
be
been
being
is
was
were 		Verb 824 -24.18 18.49 475.44 0.92 96 260,299 208.84
5. make made
make
makes
making 		Verb 9 -22.82 3.23 61.56 0.68 9 8,374,756 6.49
6. see see
seeing
seen
sees 		Verb 15 -13.78 5.63 42.31 0.72 13 7,824,181 6.95
7. find find
found 		Verb 5 -13.59 1.82 26.32 0.56 5 14,542,426 3.74
8. use use
used
using 		Verb 8 -12.99 3.52 30.47 0.61 7 10,181,992 5.34
9. can ca
can 		Verb 29 -12.59 7.98 48.56 0.8 23 4,337,121 12.53
10. look looked
looking
looks 		Verb 7 -12.57 3.09 27.73 0.58 6 20,265,970 2.68
11. give gave
give
given
gives
giving 		Verb 14 -8.62 5.89 22.72 0.73 13 9,272,400 5.86
12. should should Verb 12 -8.18 5.42 20.08 0.7 11 8,340,821 6.52
13. must must Verb 6 -8.1 3.06 15.32 0.48 4 42,453,952 1.28
14. mean mean
means
meant 		Verb 6 -7.31 3.18 13.5 0.6 6 13,129,482 4.14
15. could could Verb 25 -6.83 8.04 20 0.78 20 3,898,320 13.94
16. follow follow
Following
follows 		Verb 5 -5.18 2.92 8.11 0.56 5 22,576,917 2.41
17. know knew
know
knowing
known
knows 		Verb 38 -4.52 9.7 11.96 0.8 27 3,796,957 14.32
18. will will Verb 64 -3.99 11.42 10.85 0.87 45 1,762,938 30.83
19. would would Verb 74 -3.96 11.87 10.98 0.87 47 1,432,037 37.96
20. provide provide
provided 		Verb 8 -3.73 4.79 6.03 0.57 6 23,029,302 2.36
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