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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
are
be
been
being
is
was
were 		Verb 520 -41.43 16.55 913.16 0.74 89 495,015 109.81
2. do did
do
does
doing 		Verb 18 -40.6 4.94 163.07 0.68 10 9,402,076 5.78
3. say said
say
says 		Verb 7 -40.05 1.6 102.04 0.58 6 13,162,839 4.13
4. have had
has
have
having 		Verb 100 -35.38 11.11 307.67 0.78 50 1,816,717 29.92
5. get get
got 		Verb 5 -31.74 0.72 67.48 0.34 3 19,421,719 2.8
6. would 'd
would 		Verb 13 -25.31 4.4 81.82 0.66 10 16,658,062 3.26
7. know know
knowing
known
knows 		Verb 7 -21.37 2.43 51.08 0.58 6 18,435,600 2.95
8. come came
come
comes 		Verb 6 -18.61 2.07 40.78 0.6 6 13,651,352 3.98
9. can can Verb 18 -17.78 5.96 62.24 0.67 12 11,751,193 4.63
10. see see
seen 		Verb 11 -16.58 4.33 46.52 0.55 7 10,421,605 5.22
11. could could Verb 11 -13.9 4.54 37.72 0.55 7 10,978,981 4.95
12. will will Verb 25 -13.51 7.4 50.37 0.76 19 4,879,164 11.14
13. should should Verb 6 -13.44 2.47 28.1 0.53 5 21,000,973 2.59
14. look look
looking 		Verb 6 -13.41 2.48 28.03 0.48 4 30,068,426 1.81
15. make made
make
makes
making 		Verb 18 -13.37 6.29 43.83 0.64 10 9,866,637 5.51
16. take take
takes
taking
took 		Verb 14 -12.8 5.47 37.6 0.73 13 8,748,428 6.21
17. become became
become 		Verb 5 -8.3 2.41 14.71 0.56 5 19,772,992 2.75
18. mean mean
means
meant 		Verb 6 -6.97 3.23 12.71 0.53 5 12,755,286 4.26
19. put put
puts 		Verb 7 -6.48 3.83 12.26 0.58 6 14,971,497 3.63
20. may may Verb 16 -6.05 6.67 14.71 0.5 7 11,601,639 4.69
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