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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. win win
winning
wins
won 		Verb 15 3.19 10.31 57.5 0.57 8 11,215,782 4.85
2. educate educated Verb 5 2.14 9.21 108.28 0.34 3 19,466,301 2.79
3. drive drive
driven
driving 		Verb 7 2.03 7.73 17.89 0.45 4 41,230,245 1.32
4. base based Verb 7 1.82 7.3 10.67 0.38 3 26,584,472 2.04
5. live live
lived
lives 		Verb 8 1.6 7.2 5.88 0.51 5 17,660,678 3.08
6. go go
goes
going
gone
went 		Verb 16 -2.43 7.31 3.75 0.68 11 19,372,056 2.81
7. come came
come
comes
coming 		Verb 9 -2.49 5.47 3.42 0.61 7 22,341,290 2.43
8. take Take
taken
takes
took 		Verb 7 -4.82 4.12 8.35 0.45 4 35,150,957 1.55
9. make made
make
making 		Verb 7 -6.37 3.85 12.11 0.26 3 52,055,796 1.04
10. will will Verb 9 -6.84 4.63 14.58 0.4 5 17,746,398 3.06
11. see see Verb 5 -7.18 2.57 12.42 0.4 3 28,123,066 1.93
12. say said
say
says 		Verb 7 -10.98 3.25 24.02 0.45 4 35,335,796 1.54
13. have 'd
've
had
has
have
having 		Verb 58 -11.4 10.4 58.01 0.44 17 7,371,008 7.37
14. do did
do
does
doing
done 		Verb 8 -18.63 3.08 47.83 0.54 6 25,511,322 2.13
15. be 'm
's
are
be
been
being
is
was
were 		Verb 136 -28.41 12.39 351.91 0.51 29 3,853,985 14.1
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