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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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TTEST
MI3
CHISQ
JD
R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. visit visited
visiting 		Verb 6 2.02 7.68 23.32 0.43 4 38,100,091 1.43
2. return returned
returns 		Verb 6 1.62 6.73 7.75 0.43 4 16,784,237 3.24
3. send sent Verb 6 1.52 6.57 6.16 0.53 5 21,095,683 2.58
4. help help
helped
helping 		Verb 5 0.54 5.04 0.39 0.56 5 25,501,067 2.13
5. become became
become 		Verb 6 -0.08 5.12 0.01 0.43 4 17,805,857 3.05
6. work work
worked
working
works 		Verb 5 -0.35 4.43 0.11 0.56 5 19,488,997 2.79
7. see saw
see
seen 		Verb 11 -1.91 6.26 2.35 0.59 7 15,843,083 3.43
8. go go
going
gone
went 		Verb 14 -1.92 7.02 2.49 0.68 10 12,281,286 4.43
9. could could Verb 6 -3.68 3.85 5.47 0.48 4 17,184,938 3.16
10. make made
making 		Verb 7 -4.78 4.13 8.27 0.63 7 11,309,117 4.81
11. will will Verb 7 -6.55 3.82 12.6 0.38 4 19,723,472 2.76
12. say said
say 		Verb 8 -7.67 4.11 16.26 0.57 6 14,949,625 3.64
13. would would Verb 6 -8.73 2.98 17.11 0.43 3 26,720,853 2.03
14. have had
has
have
having 		Verb 54 -8.88 10.37 39.81 0.69 20 7,217,992 7.53
15. be are
be
been
being
is
was
were 		Verb 106 -27.09 11.6 302.74 0.74 33 2,756,772 19.72
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