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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. be 's
are
be
been
being
is
was
were 		Verb 415 -49.18 15.62 1,061.62 0.92 92 445,090 122.13
2. do did
do
does
done 		Verb 13 -47.44 3.58 166.2 0.7 11 6,763,809 8.04
3. say said
say
says 		Verb 6 -42.16 0.98 100.2 0.53 5 24,825,148 2.19
4. go go
goes
going 		Verb 5 -32.65 0.68 69.64 0.56 5 18,555,763 2.93
5. have had
has
have
Having 		Verb 112 -30.9 11.64 271.65 0.88 56 1,225,969 44.34
6. would would Verb 12 -25.64 4.1 80.18 0.73 12 8,050,728 6.75
7. see see
seen 		Verb 7 -21.48 2.43 51.38 0.58 6 17,473,767 3.11
8. will will
willed 		Verb 18 -16.86 6.03 58.39 0.71 13 6,065,375 8.96
9. make made
make
makes 		Verb 13 -16.45 4.93 49.49 0.7 11 15,165,070 3.58
10. come came
come
comes 		Verb 7 -16.21 2.78 37.33 0.58 6 10,872,109 5
11. take take
taken
took 		Verb 11 -14.74 4.47 40.47 0.71 11 6,868,298 7.91
12. should should Verb 6 -12.92 2.52 26.85 0.53 5 14,222,994 3.82
13. could could Verb 12 -12.48 4.97 34.3 0.7 11 7,595,739 7.16
14. may may Verb 10 -9.14 4.68 21.67 0.7 10 9,022,514 6.02
15. can can Verb 39 -8.23 9.36 29.85 0.75 24 3,419,096 15.9
16. show show
shows 		Verb 5 -6.81 2.63 11.51 0.48 4 15,921,785 3.41
17. know knew
know
knowing
known
knows 		Verb 32 -5.21 9.06 14.34 0.81 26 3,946,765 13.77
18. must must Verb 9 -5.04 4.92 9.53 0.68 9 18,541,179 2.93
19. need need
needed
needs 		Verb 9 -4.4 5.04 7.88 0.61 7 17,868,802 3.04
20. become became
become
becomes
becoming 		Verb 11 -3.56 5.87 6.14 0.68 10 9,235,866 5.89
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