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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. say said
say
saying
says 		Verb 38 3.95 11.97 44.68 0.69 16 7,732,734 7.03
2. 's 's Verb 8 2.23 8.25 23.81 0.54 6 15,301,469 3.55
3. die died
dying 		Verb 5 1.83 7.09 18.15 0.48 4 20,585,712 2.64
4. ask ask
asked
asks 		Verb 6 1.43 6.44 4.99 0.6 6 19,574,046 2.78
5. would would Verb 18 1.28 8.86 2.39 0.59 9 14,300,175 3.8
6. tell tell
telling
told 		Verb 6 1.16 6.1 2.58 0.48 4 24,087,652 2.26
7. use used Verb 7 0.68 6.04 0.62 0.58 6 14,829,158 3.67
8. see saw
see 		Verb 8 0.01 6.01 0 0.57 6 21,282,534 2.55
9. will will
wo 		Verb 11 -0.05 6.9 0 0.53 6 35,508,508 1.53
10. take take
taken
taking
took 		Verb 7 -0.18 5.52 0.03 0.45 4 25,076,800 2.17
11. make made
make 		Verb 6 -1.23 4.58 1.03 0.48 4 23,422,285 2.32
12. go going
gone
went 		Verb 5 -2.12 3.68 2.35 0.34 3 32,259,752 1.69
13. have had
has
have
Having 		Verb 41 -2.15 10.3 3.87 0.68 13 8,442,897 6.44
14. do did
do
does 		Verb 12 -3.17 6.23 5.47 0.66 9 10,344,521 5.25
15. be 's
Are
be
been
being
is
was
were 		Verb 69 -12.98 10.86 98.5 0.77 25 3,660,370 14.85
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