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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. do did
do
does 		Verb 9 -44.85 2.34 131.84 0.61 7 14,386,503 3.78
2. be 's
are
be
been
being
is
was
were 		Verb 321 -43.77 14.87 833.67 0.88 73 881,713 61.65
3. have 've
had
has
have
having 		Verb 46 -43.7 8.15 286.14 0.81 29 3,301,116 16.47
4. would would Verb 12 -19.24 4.46 57.86 0.7 11 10,956,434 4.96
5. will will Verb 13 -15.76 4.98 47.25 0.72 12 6,275,998 8.66
6. see see
seen 		Verb 8 -14.77 3.36 35.61 0.61 7 10,121,888 5.37
7. make made
make
makes
making 		Verb 12 -12.81 4.94 35.56 0.68 10 12,396,138 4.39
8. use used
using 		Verb 5 -12.33 1.94 23.57 0.48 4 16,643,597 3.27
9. come came
come
comes 		Verb 7 -12.06 3.14 26.5 0.63 7 11,934,228 4.55
10. give give
given
gives
giving 		Verb 6 -11.3 2.68 22.98 0.6 6 15,980,886 3.4
11. could could Verb 12 -8.97 5.33 22.72 0.66 9 10,704,063 5.08
12. can ca
can 		Verb 36 -5.75 9.37 17.25 0.76 23 7,604,425 7.15
13. seem seem
seemed
seems 		Verb 5 -4.95 2.96 7.67 0.56 5 17,342,713 3.13
14. need need
needed
needs 		Verb 6 -4.61 3.64 7.43 0.6 6 15,110,927 3.6
15. must must Verb 7 -4.46 4.19 7.46 0.63 7 9,199,456 5.91
16. might might Verb 6 -4.04 3.76 6.2 0.6 6 12,594,259 4.32
17. follow follow
following 		Verb 5 -3.16 3.37 4.15 0.48 4 16,329,078 3.33
18. provide provide
provides
providing 		Verb 6 -3.07 4 4.19 0.6 6 16,380,587 3.32
19. take take
taken
takes
taking
took 		Verb 31 -2.82 9.32 5.35 0.8 23 5,143,720 10.57
20. include include
included
includes 		Verb 5 -1.98 3.73 2.08 0.56 5 19,018,110 2.86
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