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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 'm
're
's
are
be
been
being
is
was
were 		Verb 478 -56.9 15.95 1,346.81 0.83 85 552,103 98.46
2. do did
do
does
done 		Verb 18 -48.48 4.7 197.75 0.69 12 6,741,338 8.06
3. get get
got 		Verb 5 -37.7 0.49 81.01 0.48 4 36,203,164 1.5
4. have 've
had
has
have
having 		Verb 135 -34.3 12.17 332.04 0.78 49 1,658,193 32.78
5. can ca
can 		Verb 9 -33.61 2.73 94.62 0.64 8 16,326,459 3.33
6. know knew
know
known 		Verb 5 -31.18 0.74 66.03 0.34 3 27,768,233 1.96
7. would would Verb 14 -29.01 4.48 98.52 0.66 10 8,035,853 6.76
8. will will Verb 14 -25.34 4.66 84.41 0.65 11 6,051,959 8.98
9. think think
thought 		Verb 6 -22.14 1.84 49.42 0.6 6 16,893,661 3.22
10. go go
going
went 		Verb 19 -17.39 6.18 61.78 0.65 12 8,228,523 6.61
11. could could Verb 11 -16.92 4.31 47.57 0.59 7 32,239,400 1.69
12. see saw
see
seeing
seen 		Verb 15 -16.15 5.44 51.25 0.64 10 11,122,205 4.89
13. take take
taken
taking
took 		Verb 14 -15.71 5.24 48.15 0.59 10 9,239,401 5.88
14. use use
used
using 		Verb 8 -15.11 3.33 36.38 0.61 7 11,696,189 4.65
15. make made
make
makes
making 		Verb 22 -14.04 6.92 50.25 0.39 8 13,695,669 3.97
16. should should Verb 9 -12.25 3.99 29.8 0.68 9 7,576,569 7.17
17. come came
coming 		Verb 15 -11.79 5.8 34.78 0.68 11 8,952,738 6.07
18. give gave
Give
giving 		Verb 13 -10.94 5.39 30 0.64 9 11,905,684 4.57
19. say said
saying
says 		Verb 61 -9.19 10.74 39.86 0.59 19 4,702,928 11.56
20. seem seem
seemed 		Verb 6 -7.78 3.11 14.57 0.53 5 24,664,614 2.2
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