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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
am
are
be
been
being
is
was
were 		Verb 327 -26.58 15.4 428.61 0.83 77 629,255 86.39
2. do did
Do
does
done 		Verb 16 -22.23 5.29 78.77 0.74 14 7,018,529 7.75
3. have 'd
've
had
has
have
having 		Verb 85 -17.92 11.26 121.67 0.83 44 1,735,734 31.32
4. will will Verb 7 -16.64 2.75 38.81 0.63 7 13,137,270 4.14
5. go go
going
went 		Verb 7 -14.16 2.95 32.17 0.58 6 15,426,287 3.52
6. know knew
know
knowing
known 		Verb 5 -13.44 1.83 26.14 0.56 5 22,486,785 2.42
7. would 'd
would 		Verb 13 -12.34 5.26 35.26 0.66 10 8,569,434 6.34
8. could could Verb 5 -11.84 1.99 22.58 0.56 5 15,673,092 3.47
9. say said
say
says 		Verb 18 -10.44 6.55 32.32 0.72 13 11,531,804 4.71
10. get get
gets
getting
got 		Verb 16 -6.47 6.61 16.28 0.71 12 5,157,588 10.54
11. should should Verb 6 -6.31 3.33 11.24 0.53 5 14,557,744 3.73
12. can ca
can 		Verb 22 -6.29 7.69 17.28 0.78 19 5,670,330 9.59
13. use use
used
using 		Verb 8 -5.59 4.43 10.59 0.54 5 16,658,109 3.26
14. think think
Thinking
thinks
thought 		Verb 11 -5.2 5.56 10.66 0.71 11 9,383,329 5.79
15. may may Verb 8 -5.01 4.53 9.14 0.61 7 12,385,966 4.39
16. see saw
see
seeing
seen 		Verb 18 -4.33 7.32 9.43 0.6 10 10,583,227 5.14
17. make made
make
makes
making 		Verb 22 -4.1 8.01 9.11 0.74 17 5,145,026 10.57
18. show showed
shown
shows 		Verb 5 -2.92 3.44 3.71 0.48 4 25,313,401 2.15
19. become became
become
becoming 		Verb 6 -2.86 4.06 3.79 0.53 5 18,072,966 3.01
20. come came
come
comes
coming 		Verb 17 -2.78 7.43 4.66 0.64 10 11,726,921 4.64
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