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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 324 -55.55 14.65 1,131.54 0.86 79 665,427 81.69
2. do did
do
does
done 		Verb 31 -25.32 7.44 120.8 0.76 20 5,057,581 10.75
3. can can Verb 10 -23.54 3.57 67.07 0.64 8 8,674,017 6.27
4. would would Verb 15 -20.45 5.16 68.23 0.68 11 9,428,828 5.77
5. have 've
had
has
have
having 		Verb 195 -15.41 14.14 125.89 0.79 55 1,231,467 44.14
6. make made
make
makes
making 		Verb 14 -14.31 5.34 43.2 0.73 13 8,839,792 6.15
7. may may Verb 5 -14.01 1.78 27.28 0.48 4 15,414,001 3.53
8. go go
going
gone
went 		Verb 17 -13.56 6.07 43.67 0.71 13 7,684,483 7.07
9. think think
thought 		Verb 9 -12.43 3.98 30.41 0.55 6 13,955,978 3.9
10. will will Verb 26 -11.3 7.72 40.59 0.51 9 22,254,681 2.44
11. should should Verb 7 -10.65 3.29 22.77 0.63 7 12,317,624 4.41
12. get get
gets
got 		Verb 21 -10.4 7.08 33.67 0.75 17 7,549,399 7.2
13. see saw
see
seeing
seen
sees 		Verb 20 -8.86 7.07 26.75 0.73 16 6,521,360 8.34
14. know knew
know
knowing
known
knows 		Verb 19 -8.82 6.9 26.11 0.68 12 6,251,934 8.69
15. come came
Come
comes
coming 		Verb 15 -8.17 6.18 21.71 0.68 11 8,056,737 6.75
16. could could Verb 18 -7.92 6.82 22.18 0.68 13 7,649,322 7.11
17. must must Verb 5 -7.84 2.47 13.73 0.48 4 24,296,592 2.24
18. want want
wanted
wants 		Verb 8 -7.14 4.18 14.58 0.61 7 11,212,296 4.85
19. mean mean
means
meant 		Verb 5 -7.09 2.58 12.12 0.56 5 12,317,391 4.41
20. seem seem
seems 		Verb 5 -6.38 2.7 10.61 0.56 5 14,909,726 3.65
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