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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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Part of speech:
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MI3
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 8 -52.14 1.72 146.24 0.66 8 8,192,481 6.64
2. be 's
are
be
been
being
is
was
were 		Verb 520 -29.69 16.84 573.61 0.85 77 707,622 76.82
3. have had
has
have
having 		Verb 105 -25.94 11.61 212.51 0.86 50 1,792,583 30.32
4. see see
seen
sees 		Verb 7 -17.73 2.67 41.45 0.58 6 17,449,513 3.12
5. know knowing
known 		Verb 8 -15.53 3.3 37.72 0.57 6 17,356,952 3.13
6. could could Verb 9 -12.55 3.97 30.8 0.61 7 13,730,017 3.96
7. get get
got 		Verb 17 -10.93 6.31 33.31 0.7 14 7,648,123 7.11
8. would would Verb 29 -10.43 8.16 37.96 0.7 16 8,115,668 6.7
9. come came
come
comes
coming 		Verb 10 -10.17 4.57 24.82 0.54 7 11,607,422 4.68
10. give give
given
gives
giving 		Verb 8 -10.06 3.81 22.45 0.66 8 8,289,469 6.56
11. can can Verb 29 -8.79 8.32 30.01 0.77 21 5,104,504 10.65
12. should should Verb 8 -8.41 4.01 17.98 0.66 8 9,435,985 5.76
13. will will Verb 35 -6.87 9.15 22.29 0.78 21 4,794,906 11.34
14. use use
used
using 		Verb 13 -6.18 5.96 14.2 0.64 9 12,250,997 4.44
15. might might Verb 5 -5.47 2.86 8.72 0.48 4 20,911,071 2.6
16. take take
taken
takes
taking
took 		Verb 26 -4.82 8.44 12.11 0.74 17 5,058,156 10.75
17. show show
showed
showing
shown 		Verb 6 -4.52 3.66 7.22 0.48 4 17,845,678 3.05
18. need need
needed 		Verb 7 -4.44 4.19 7.4 0.38 4 19,836,053 2.74
19. may may Verb 18 -3.5 7.47 6.78 0.74 15 6,431,232 8.45
20. must must Verb 10 -3.28 5.62 5.31 0.54 7 11,575,628 4.7
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