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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 219 -16.47 14.47 192.26 0.85 66 862,892 63
2. have had
has
have 		Verb 43 -15.3 9.12 78.33 0.8 26 4,430,257 12.27
3. do did
do 		Verb 13 -13.06 5.19 38.58 0.66 9 10,419,112 5.22
4. would would Verb 5 -12.49 1.92 24.26 0.56 5 15,987,783 3.4
5. say said
say
saying
says 		Verb 8 -9.79 3.84 22.04 0.66 8 9,221,428 5.89
6. get get
got 		Verb 5 -8.49 2.38 15.3 0.48 4 22,927,294 2.37
7. make made
make 		Verb 5 -8.32 2.4 14.92 0.56 5 22,299,523 2.44
8. can can Verb 11 -5.58 5.5 11.86 0.48 6 16,880,065 3.22
9. come came
come 		Verb 5 -5.05 2.94 7.92 0.56 5 20,054,792 2.71
10. will will Verb 13 -4.5 6.23 9.21 0.62 9 10,744,805 5.06
11. mean mean
means
meant 		Verb 5 -1.02 4.1 0.72 0.56 5 14,193,893 3.83
12. may may Verb 10 -0.85 6.3 0.58 0.61 8 14,747,079 3.69
13. give gave
give
given
gives 		Verb 14 -0.03 7.6 0 0.69 11 10,650,546 5.1
14. ask ask
asked
asking 		Verb 8 0.53 6.3 0.35 0.57 6 13,003,148 4.18
15. fall falls Verb 5 0.92 5.41 1.44 0.34 3 50,362,614 1.08
16. become became
become
becoming 		Verb 27 3.76 11.37 51.66 0.46 10 7,954,315 6.83
17. appoint appointed Verb 18 4.04 12.74 346.38 0.37 8 10,031,478 5.42
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