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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:
excelSpreadsheet
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. 's 's Verb 8 2.22 8.22 23 0.27 2 47,628,298 1.14
2. tell telling
tells
told 		Verb 6 1.13 6.07 2.4 0.38 3 48,314,746 1.13
3. say said
say
saying
says 		Verb 18 0.96 8.71 1.21 0.54 8 14,561,499 3.73
4. give gave
give
given
gives
giving 		Verb 8 0.88 6.54 1.14 -0.01 1 54,118,486 1
5. should should Verb 6 0.49 5.49 0.3 0.15 2 47,881,129 1.14
6. will will
wo 		Verb 13 0.44 7.59 0.22 0.51 5 23,570,751 2.31
7. could could Verb 7 -0.02 5.6 0 0.49 5 14,199,357 3.83
8. take take
takes
taking
took 		Verb 7 -0.24 5.49 0.05 0.29 2 47,825,092 1.14
9. get get
gets
got 		Verb 8 -0.49 5.77 0.21 0.44 5 23,575,228 2.31
10. think think
thought 		Verb 5 -0.59 4.31 0.28 0.34 3 18,136,317 3
11. go goes
going
went 		Verb 5 -2.22 3.65 2.51 0.48 4 25,088,362 2.17
12. would would Verb 6 -2.8 4.07 3.75 0.53 5 26,192,237 2.08
13. have had
has
have
having 		Verb 27 -5.59 8.46 16.76 0.34 6 21,925,757 2.48
14. do did
does
doing 		Verb 7 -6.23 3.87 12.1 0.23 2 47,209,552 1.15
15. be 's
are
be
been
being
is
was
were 		Verb 67 -13.91 10.7 107.32 0.43 11 10,640,377 5.11
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