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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
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
were 		Verb 101 -20.25 11.72 203.68 0.74 35 2,745,759 19.8
2. do did
do
does
doing
done 		Verb 12 -7.95 5.45 20.06 0.62 8 10,800,788 5.03
3. have had
has
have 		Verb 48 -6.69 10.2 25.37 0.68 18 5,243,638 10.37
4. say said
say
says 		Verb 11 -3.76 5.83 6.81 0.59 7 12,923,471 4.21
5. know knew
know
knowing
known
knows 		Verb 8 -1.84 5.28 2.08 0.61 7 13,393,101 4.06
6. could could Verb 7 -1.84 4.85 2.02 0.45 4 25,357,356 2.14
7. take take
takes
took 		Verb 8 -1.72 5.31 1.87 0.54 5 14,003,463 3.88
8. would would Verb 16 -1.42 7.56 1.52 0.62 11 7,095,800 7.66
9. can can Verb 15 -1.14 7.44 1.03 0.57 8 17,100,878 3.18
10. find find
finding 		Verb 5 -0.94 4.14 0.63 0.56 5 23,201,317 2.34
11. give gave
give
given
gives
giving 		Verb 8 -0.45 5.79 0.18 0.57 6 11,975,096 4.54
12. make made
make
making 		Verb 14 -0.41 7.46 0.15 0.6 9 8,228,527 6.61
13. should should Verb 8 -0.03 5.98 0 0.47 4 22,323,170 2.44
14. want want
wanted
wants 		Verb 7 0.19 5.72 0.04 0.63 7 10,163,917 5.35
15. must must Verb 6 0.33 5.38 0.13 0.6 6 24,804,490 2.19
16. try try Verb 5 0.49 5 0.3 0.48 4 19,853,953 2.74
17. might might Verb 6 0.66 5.62 0.6 0.38 3 48,646,870 1.12
18. may may Verb 13 1.29 8.04 2.6 0.54 7 11,429,845 4.76
19. pay paid
pay 		Verb 7 1.6 6.95 6.47 0.49 5 14,814,115 3.67
20. include include
included 		Verb 7 1.66 7.05 7.49 0.58 6 17,800,063 3.05
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