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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do 		Verb 8 -27.59 2.57 74 0.54 6 22,109,557 2.46
2. have 've
had
has
have 		Verb 61 -18.47 10.11 113.03 0.8 28 3,170,105 17.15
3. be 're
's
are
be
been
being
is
was
were 		Verb 337 -17.73 15.82 239.53 0.84 68 1,075,268 50.55
4. would would Verb 10 -11.74 4.41 29.98 0.61 8 11,629,846 4.67
5. get get
getting
got 		Verb 6 -11.58 2.65 23.82 0.6 6 10,038,170 5.42
6. could could Verb 6 -8.09 3.06 15.42 0.6 6 14,896,325 3.65
7. will will
wo 		Verb 18 -5.62 7.12 13.89 0.66 11 9,320,394 5.83
8. know know
known 		Verb 12 -4.83 5.91 9.9 0.64 9 9,753,686 5.57
9. make made
make
makes
making 		Verb 18 -3.72 7.43 7.51 0.72 14 5,580,259 9.74
10. can can Verb 26 -3.19 8.7 6.39 0.71 15 8,462,992 6.42
11. might might Verb 6 -1.44 4.5 1.32 0.6 6 12,849,111 4.23
12. leave leave
leaving
left 		Verb 7 -1.04 5.14 0.78 0.63 7 8,644,094 6.29
13. provide provide
provided
provides 		Verb 6 -0.86 4.74 0.55 0.6 6 13,045,206 4.17
14. show showed
shown
shows 		Verb 8 -0.51 5.76 0.22 0.44 5 18,029,618 3.02
15. use use
used
using 		Verb 18 -0.36 8.22 0.12 0.73 14 9,018,489 6.03
16. find find
found 		Verb 15 -0.12 7.77 0.01 0.72 13 9,189,063 5.92
17. may may Verb 19 0.19 8.56 0.04 0.74 15 8,181,679 6.64
18. involve involved
involves
involving 		Verb 5 0.61 5.1 0.51 0.48 4 15,680,354 3.47
19. occur occur
occurring
occurs 		Verb 5 1.12 5.65 2.52 0.48 4 19,282,865 2.82
20. exist exist
exists 		Verb 5 1.43 6.11 5.66 0.28 2 45,816,701 1.19
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