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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:
Collocate's part of speech:
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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 309 -43.65 14.74 819.53 0.9 83 596,747 91.09
2. do did
do
does
done 		Verb 13 -35.17 3.97 120.23 0.7 11 10,783,776 5.04
3. have had
has
have
having 		Verb 92 -25.17 11.19 194.97 0.85 50 1,458,362 37.27
4. say said
say
says 		Verb 10 -23.08 3.59 65.91 0.66 9 12,988,328 4.19
5. would would Verb 11 -19.78 4.12 57.54 0.68 10 8,083,048 6.73
6. take take
taken
taking
took 		Verb 7 -14.54 2.92 33.03 0.58 6 12,258,332 4.43
7. see saw
See
seen 		Verb 9 -13.16 3.91 32.64 0.61 7 12,978,028 4.19
8. come came
come
comes 		Verb 6 -13.02 2.51 27.18 0.53 5 18,197,111 2.99
9. know knew
know
knowing
known 		Verb 9 -12.56 3.96 30.88 0.64 8 8,872,062 6.13
10. can can Verb 17 -12.53 6.16 39.71 0.75 15 6,266,538 8.67
11. could could Verb 8 -12 3.61 27.85 0.61 7 17,564,132 3.09
12. make made
make 		Verb 13 -11.62 5.32 32.55 0.7 11 8,398,590 6.47
13. give give
gives
giving 		Verb 6 -10.94 2.72 22.12 0.53 5 18,570,566 2.93
14. should should Verb 7 -8.16 3.58 16.46 0.58 6 15,291,347 3.55
15. will will
wo 		Verb 29 -7.24 8.49 22.85 0.72 21 5,328,404 10.2
16. use use
used
uses
using 		Verb 11 -6.25 5.39 13.67 0.68 10 9,860,069 5.51
17. want want
wanting 		Verb 7 -6.02 3.9 11.15 0.35 3 31,838,867 1.71
18. might might Verb 5 -4.69 3.01 7.14 0.56 5 23,074,303 2.36
19. put put
putting 		Verb 7 -4.06 4.27 6.55 0.63 7 12,611,260 4.31
20. tell tell
tells
told 		Verb 8 -3.96 4.74 6.57 0.66 8 10,857,597 5.01
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