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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 's
are
be
been
being
is
was
were 		Verb 198 -39.69 13.32 617.74 0.82 66 1,102,551 49.3
2. have 've
had
has
have
having 		Verb 64 -21.3 10.13 138.11 0.8 32 2,997,037 18.14
3. do did
do
does
doing
done 		Verb 18 -18.92 5.89 68.53 0.76 16 10,135,384 5.36
4. can can Verb 9 -13.08 3.92 32.63 0.64 8 13,198,709 4.12
5. know know
known 		Verb 5 -12.44 1.93 23.93 0.56 5 14,815,273 3.67
6. will will Verb 10 -11.95 4.39 30.53 0.7 10 8,998,969 6.04
7. could could Verb 5 -10.95 2.08 20.61 0.56 5 17,825,469 3.05
8. make made
making 		Verb 8 -10.82 3.73 24.68 0.61 7 13,404,375 4.06
9. take take
takes
taking
took 		Verb 6 -10.6 2.76 21.4 0.53 5 16,215,955 3.35
10. would 'd
would 		Verb 15 -10.03 5.97 28.7 0.69 12 8,879,159 6.12
11. come came
come
comes
coming 		Verb 5 -9.68 2.23 17.79 0.48 4 15,588,184 3.49
12. use use
used
using 		Verb 6 -6.65 3.28 12.03 0.6 6 13,991,233 3.89
13. should should Verb 7 -4.95 4.09 8.61 0.58 6 32,132,869 1.69
14. may may Verb 10 -3.4 5.59 5.63 0.64 8 9,235,852 5.89
15. must must Verb 10 -0.91 6.28 0.65 0.66 9 8,667,289 6.27
16. set set
setting 		Verb 7 -0.07 5.58 0 0.38 4 25,019,359 2.17
17. favour favoured Verb 5 2 7.88 37.55 0.56 5 17,943,824 3.03
18. ski ski
skiing 		Verb 7 2.62 12.37 744.41 0.58 6 13,212,101 4.11
19. feature feature
featured
features
featuring 		Verb 10 2.94 10.49 124.85 0.54 7 15,137,550 3.59
20. offer offer
offered
offering
offers 		Verb 18 3 10.12 31.02 0.57 9 17,487,574 3.11
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