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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
done 		Verb 18 -34.14 5.16 134.7 0.51 8 16,094,043 3.38
2. be 's
are
be
been
being
is
was
were 		Verb 526 -31.73 16.82 632.95 0.74 79 687,292 79.09
3. have had
has
hath
have
having 		Verb 102 -28.36 11.42 235.56 0.73 38 1,996,752 27.22
4. know know
knowing
known 		Verb 6 -19.76 1.99 43.7 0.6 6 16,993,201 3.2
5. say said
say
saying
says 		Verb 22 -15.92 6.78 59.22 0.66 13 5,846,162 9.3
6. would would Verb 21 -14.89 6.7 53.44 0.66 14 7,929,512 6.86
7. take take
taken
takes
taking
took 		Verb 11 -12.66 4.65 33.74 0.68 10 9,609,774 5.66
8. use use
used
using 		Verb 6 -12.63 2.55 26.18 0.6 6 18,071,102 3.01
9. see see
seen 		Verb 14 -11.35 5.6 32.44 0.51 7 13,192,758 4.12
10. come came
come
comes
coming 		Verb 10 -10.8 4.5 26.74 0.58 7 12,847,339 4.23
11. could could Verb 15 -8.75 6.11 23.79 0.59 9 8,203,999 6.63
12. will will Verb 34 -7.75 8.95 26.37 0.73 21 4,105,986 13.24
13. can can Verb 35 -7.6 9.07 25.84 0.66 17 5,285,663 10.28
14. should should Verb 12 -6.15 5.7 13.76 0.57 7 10,256,936 5.3
15. might might Verb 5 -5.83 2.79 9.48 0.56 5 17,793,116 3.06
16. show show
showed
shown 		Verb 5 -5.76 2.8 9.33 0.56 5 16,560,215 3.28
17. hold held
holds 		Verb 5 -4.07 3.15 5.9 0.56 5 15,390,623 3.53
18. set set
setting 		Verb 5 -3.08 3.39 4.01 0.4 3 26,103,128 2.08
19. pay paid
pay
paying 		Verb 5 -2.87 3.45 3.62 0.48 4 16,812,332 3.23
20. must must Verb 15 -1.64 7.31 1.9 0.71 12 6,623,110 8.21
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