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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. be 'm
's
am
are
be
been
being
is
was
were 		Verb 461 -74.76 15.53 1,868.75 0.88 85 571,960 95.04
2. do did
do
does
doing
done 		Verb 20 -55.54 4.9 240.35 0.75 16 6,836,261 7.95
3. have 'd
had
has
have
having 		Verb 132 -44.23 11.81 449.9 0.83 64 1,185,304 45.86
4. say said
say
saying
says 		Verb 12 -42.53 3.44 139.88 0.62 8 16,722,716 3.25
5. go go
goes
gone
went 		Verb 10 -32.81 3.14 96.45 0.7 10 9,033,672 6.02
6. know knew
Knowing
known
knows 		Verb 10 -25.18 3.48 71.83 0.66 9 11,400,971 4.77
7. would 'd
would 		Verb 24 -25.11 6.55 105.49 0.79 21 4,271,174 12.73
8. get get
got 		Verb 14 -24.89 4.68 82.44 0.75 14 6,538,826 8.31
9. will will
wo 		Verb 22 -23.14 6.35 92.22 0.7 14 9,625,417 5.65
10. could could Verb 12 -19.79 4.42 59.12 0.66 9 9,747,097 5.58
11. give GIVE
given
giving 		Verb 8 -19.42 3.02 48.47 0.61 7 15,497,562 3.51
12. can ca
can 		Verb 30 -18.58 7.68 80.36 0.76 20 4,227,541 12.86
13. use use
used
using 		Verb 9 -17.29 3.58 44.67 0.68 9 10,250,897 5.3
14. may may Verb 8 -17.22 3.17 42.24 0.61 7 19,068,169 2.85
15. should should Verb 8 -16.58 3.22 40.43 0.66 8 13,281,749 4.09
16. come came
come
comes
coming 		Verb 13 -16.57 4.92 49.69 0.72 12 19,188,804 2.83
17. take take
taken
taking
took 		Verb 18 -16.33 6.06 55.82 0.77 17 6,276,886 8.66
18. want want
wanted
wants 		Verb 6 -15.52 2.29 33.09 0.53 5 25,542,383 2.13
19. make made
make
makes
making 		Verb 29 -14.19 7.85 56.38 0.83 27 3,682,716 14.76
20. must must Verb 5 -13.49 1.83 26.04 0.4 3 29,416,854 1.85
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