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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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MI3
CHISQ
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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 291 -27.91 14.97 442.75 0.8 63 1,362,895 39.89
2. do did
do
does 		Verb 12 -25.3 4.12 80.58 0.64 9 8,279,908 6.57
3. have 've
had
has
have
having 		Verb 57 -23.93 9.61 153.15 0.82 36 3,002,788 18.1
4. say say
saying
says 		Verb 6 -21.7 1.87 49.03 0.53 5 11,979,948 4.54
5. would would Verb 8 -16.47 3.23 40.73 0.57 6 12,459,451 4.36
6. go go
goes
going
gone
went 		Verb 6 -14.79 2.35 31.68 0.48 4 20,961,181 2.59
7. get Get
getting
got 		Verb 8 -11.24 3.69 25.84 0.61 7 9,985,144 5.44
8. see saw
see
seen 		Verb 7 -10.41 3.31 22.31 0.58 6 14,219,238 3.82
9. take take
taken
takes
taking
took 		Verb 10 -7.09 4.95 15.72 0.52 6 21,638,211 2.51
10. could could Verb 9 -6.97 4.61 14.81 0.55 6 14,854,816 3.66
11. will will
wo 		Verb 19 -6.76 7.14 18.3 0.72 14 5,634,672 9.65
12. can ca
can 		Verb 24 -5.09 8.14 12.98 0.75 17 5,311,162 10.23
13. look Look
looks 		Verb 7 -5.04 4.08 8.83 0.13 2 27,590,132 1.97
14. find find
finds
found 		Verb 6 -4.85 3.59 7.96 0.25 2 27,210,638 2
15. come came
come
comes 		Verb 11 -4.83 5.62 9.61 0.57 8 13,282,001 4.09
16. may may Verb 8 -4.62 4.6 8.17 0.66 8 18,173,442 2.99
17. put put Verb 5 -3.42 3.3 4.65 0.56 5 29,951,252 1.81
18. need need
needed 		Verb 5 -3.14 3.38 4.11 0.56 5 17,080,902 3.18
19. make made
make
makes
making 		Verb 26 -2.58 8.81 4.49 0.72 19 4,669,410 11.64
20. show show
showed
shows 		Verb 8 -1.04 5.55 0.8 0.54 6 24,933,524 2.18
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