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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
done 		Verb 17 -68.47 4.04 278.46 0.65 13 7,691,546 7.07
2. be 're
's
are
be
been
being
is
was
were 		Verb 695 -61.05 17.15 1,684.62 0.89 95 339,289 160.22
3. have 've
had
has
have
having 		Verb 136 -49.56 11.78 521.9 0.88 64 1,105,065 49.19
4. say said
say
saying
says 		Verb 18 -37.64 5.04 147.38 0.76 16 5,951,465 9.13
5. can can Verb 21 -27.49 5.98 110.39 0.69 15 5,445,863 9.98
6. know knew
know
knowing
known
knows 		Verb 13 -24.12 4.46 76.82 0.7 11 11,909,813 4.56
7. would 'd
would 		Verb 32 -23.33 7.64 108.87 0.79 22 10,225,573 5.32
8. give gave
give
gives 		Verb 8 -21.99 2.87 55.71 0.61 7 14,894,902 3.65
9. go go
goes
going
gone
went 		Verb 26 -19.78 7.11 81.75 0.78 19 5,056,561 10.75
10. want want
wants 		Verb 5 -19.72 1.35 39.91 0.56 5 20,582,798 2.64
11. will will
wo 		Verb 33 -19.6 7.95 88.99 0.78 23 4,262,170 12.75
12. may may Verb 8 -19.53 3.02 48.73 0.66 8 15,473,261 3.51
13. get get
gets
got 		Verb 24 -19.49 6.85 77.71 0.75 18 5,588,789 9.73
14. could could Verb 16 -18.46 5.51 61.51 0.71 13 7,041,646 7.72
15. find find
found 		Verb 7 -17.66 2.67 40.99 0.53 5 18,134,226 3
16. should should Verb 9 -17.41 3.57 44.97 0.61 7 12,123,627 4.48
17. make made
make
makes
making 		Verb 28 -16.93 7.54 69.46 0.8 24 4,060,965 13.39
18. tell tell
tells
told 		Verb 5 -16.15 1.6 31.92 0.48 4 17,513,075 3.1
19. must must Verb 5 -15.31 1.67 30.05 0.56 5 13,379,839 4.06
20. take take
taken
takes
taking
took 		Verb 24 -14.98 7.15 56.1 0.8 22 4,446,802 12.22
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