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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do do
does
doing 		Verb 12 -68.37 2.8 235.72 0.68 10 8,650,209 6.28
2. be 'm
's
am
are
be
been
being
is
was
were 		Verb 629 -51.31 16.99 1,295.34 0.94 98 259,596 209.4
3. say said
say 		Verb 8 -49.41 1.79 135.71 0.61 7 11,787,601 4.61
4. go go
going
went 		Verb 7 -37.23 1.7 93.71 0.49 5 11,240,172 4.84
5. can can Verb 14 -28.92 4.49 97.93 0.75 14 6,154,193 8.83
6. come came
come
comes 		Verb 5 -27.94 0.89 58.55 0.56 5 19,218,167 2.83
7. would would Verb 22 -24.38 6.29 98.25 0.79 20 4,611,799 11.79
8. make made
make
makes
making 		Verb 14 -22.38 4.81 73.03 0.71 12 6,396,290 8.5
9. give given
giving 		Verb 6 -21.38 1.89 47.48 0.6 6 11,502,091 4.73
10. look look
looking 		Verb 5 -20.49 1.3 41.69 0.56 5 13,503,150 4.03
11. should should Verb 6 -18.33 2.09 39.98 0.6 6 13,844,807 3.93
12. find find
finding
found 		Verb 5 -17.74 1.48 35.53 0.56 5 15,659,647 3.47
13. see saw
see
seeing
seen 		Verb 16 -17.57 5.57 58.16 0.69 12 7,726,032 7.04
14. will will
wo 		Verb 33 -15.33 8.21 65.44 0.78 24 3,764,652 14.44
15. could could Verb 17 -13.99 6.04 45.16 0.73 14 6,086,372 8.93
16. become became
become
becomes
becoming 		Verb 7 -9 3.48 18.52 0.58 6 13,485,043 4.03
17. must must Verb 8 -8.7 3.97 18.69 0.66 8 15,181,189 3.58
18. might might Verb 12 -4.49 5.97 8.84 0.68 10 10,551,155 5.15
19. include include Verb 6 -4.22 3.72 6.56 0.6 6 13,286,651 4.09
20. seem seem
seemed
seems 		Verb 14 -3.71 6.62 6.94 0.69 11 12,549,839 4.33
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