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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. comprise comprise
comprises
comprising 		Verb 13 3.49 12.39 387.92 0.49 7 9,589,174 5.67
2. editing editing Verb 7 2.63 13.45 1,584.7 0.13 2 28,434,480 1.91
3. droit Droit Verb 6 2.45 16.97 21,380.83 -0.01 1 54,336,233 1
4. test test
tests 		Verb 7 2.37 8.85 52.88 0.29 2 51,908,313 1.05
5. book book
booked
booking 		Verb 5 2.13 9.07 98.07 0.48 4 23,128,769 2.35
6. include include
included
includes 		Verb 10 1.83 7.89 7.98 0.64 8 12,104,207 4.49
7. design designed Verb 5 1.61 6.49 9.35 0.56 5 15,788,328 3.44
8. buy bought
buying 		Verb 7 1.51 6.84 5.33 0.49 5 19,991,180 2.72
9. 's 's Verb 8 1.17 6.77 2.33 0.54 6 21,385,258 2.54
10. come came
come
comes
coming 		Verb 6 -4.65 3.63 7.55 0.43 4 17,733,857 3.07
11. see saw
see
seen 		Verb 5 -7.71 2.49 13.58 0.48 4 17,556,438 3.1
12. make made
make
makes 		Verb 6 -7.84 3.1 14.88 0.6 6 11,854,858 4.59
13. get get
got 		Verb 5 -9.22 2.29 16.88 0.56 5 18,453,446 2.95
14. can can Verb 6 -10.41 2.78 21.1 0.53 5 19,203,932 2.83
15. will will Verb 5 -11.72 2 22.48 0.56 5 14,926,742 3.64
16. would would Verb 5 -13.48 1.83 26.49 0.48 4 17,359,749 3.13
17. have 've
had
has
have 		Verb 37 -19.08 8.37 98.09 0.8 27 3,108,900 17.49
18. be are
be
been
being
is
was
were 		Verb 108 -37.14 11.32 451.72 0.85 50 1,555,272 34.95
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