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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 558 -58.64 16.45 1,479.65 0.92 96 310,826 174.89
2. do did
do
does 		Verb 27 -43.38 6.29 210.47 0.79 21 3,779,609 14.38
3. say said
say
saying 		Verb 15 -34.82 4.49 124.59 0.66 10 11,972,070 4.54
4. have 'd
've
had
has
have 		Verb 161 -34.76 12.76 360.36 0.89 72 839,101 64.78
5. go go
going
went 		Verb 9 -32.66 2.77 91.46 0.68 9 6,876,641 7.9
6. would 'd
would 		Verb 16 -30.57 4.89 110.8 0.68 13 6,558,399 8.29
7. make made
make
making 		Verb 10 -28.19 3.33 81.57 0.66 9 8,604,312 6.32
8. think think
thought 		Verb 5 -28.16 0.88 59.04 0.56 5 25,614,321 2.12
9. take take
takes
taking
took 		Verb 10 -22.8 3.61 64.25 0.7 10 12,331,605 4.41
10. look look
looked
looking 		Verb 5 -20.81 1.28 42.41 0.56 5 22,357,671 2.43
11. could could Verb 10 -20.79 3.72 57.84 0.66 9 10,757,722 5.05
12. may may Verb 10 -13.7 4.23 35.55 0.66 9 8,784,982 6.19
13. can ca
can 		Verb 40 -13.27 9.01 58.11 0.74 23 4,978,188 10.92
14. see see Verb 26 -12.07 7.65 43.92 0.75 17 6,661,489 8.16
15. will will
wo 		Verb 46 -11.32 9.63 49.05 0.76 27 3,504,362 15.51
16. tell tell
tells
told 		Verb 7 -10.46 3.31 22.22 0.63 7 11,803,293 4.61
17. mean mean
means
meant 		Verb 6 -10.05 2.82 19.9 0.29 3 19,438,459 2.8
18. need need Verb 6 -9.97 2.83 19.72 0.48 4 24,123,299 2.25
19. must must Verb 7 -9.86 3.37 20.68 0.63 7 14,252,154 3.81
20. should should Verb 15 -9.46 6.03 26.23 0.71 12 6,372,924 8.53
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