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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. be 's
are
be
been
being
is
was
were 		Verb 423 -51.64 15.64 1,138.17 0.92 96 390,416 139.23
2. do did
do
does
done 		Verb 15 -45.93 4.13 171.53 0.72 13 9,049,924 6.01
3. would would Verb 6 -40.69 1.03 96.33 0.53 5 17,305,657 3.14
4. say said
say
saying
says 		Verb 8 -37.66 2.16 101.72 0.61 7 14,880,678 3.65
5. know know
known 		Verb 7 -21.71 2.41 51.96 0.58 6 16,383,627 3.32
6. see saw
see 		Verb 8 -20.82 2.94 52.65 0.61 7 15,070,296 3.61
7. make made
make
makes 		Verb 11 -19.53 4.13 56.35 0.66 9 13,159,388 4.13
8. could could Verb 8 -17.64 3.14 43.58 0.61 7 10,417,203 5.22
9. get get
got 		Verb 15 -16.01 5.45 50.83 0.68 11 11,975,194 4.54
10. will will Verb 26 -13.3 7.55 50.1 0.79 21 3,756,988 14.47
11. give gave
give
given
gives 		Verb 12 -9.6 5.26 24.68 0.7 11 15,680,936 3.47
12. have had
has
have
having 		Verb 306 -8.81 15.93 57.58 0.92 86 465,622 116.75
13. go go
going
went 		Verb 32 -8.8 8.65 30.87 0.82 28 3,141,128 17.31
14. can ca
can 		Verb 40 -8.65 9.4 32.31 0.81 27 4,900,181 11.09
15. use use
used
Using 		Verb 15 -7.43 6.27 19.1 0.56 10 9,872,301 5.51
16. may may Verb 14 -7.15 6.07 17.74 0.69 11 8,340,958 6.52
17. must must Verb 7 -6.91 3.76 13.3 0.58 6 14,667,485 3.71
18. need need
needs 		Verb 7 -6.14 3.88 11.42 0.58 6 16,133,981 3.37
19. mean mean
means
meant 		Verb 8 -5.44 4.45 10.19 0.44 5 19,384,648 2.8
20. keep keep
keeping
kept 		Verb 6 -4.72 3.62 7.65 0.6 6 11,599,763 4.69
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