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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. pledge pledged Verb 12 3.44 14.24 1,589.48 0.53 6 15,637,363 3.48
2. carry carried
carries
carry 		Verb 16 3.35 10.62 68.95 0.68 11 6,772,771 8.03
3. die died
dies
dying 		Verb 7 1.95 7.55 14.62 0.49 5 12,566,041 4.33
4. find find
finds
found 		Verb 15 1.75 8.68 5.65 0.65 10 7,351,967 7.39
5. meet meet
meeting
met 		Verb 6 1.37 6.36 4.31 0.53 5 18,662,355 2.91
6. become became
become
becomes
becoming 		Verb 9 1.11 7.01 1.97 0.55 6 13,483,158 4.03
7. must must Verb 8 0.71 6.42 0.67 0.61 7 10,688,658 5.09
8. may may Verb 10 0.1 6.69 0.01 0.66 9 10,988,998 4.95
9. give gave
give
given
gives
giving 		Verb 11 0.08 6.95 0.01 0.71 11 7,940,168 6.85
10. could could Verb 11 -0.82 6.6 0.55 0.68 10 13,103,649 4.15
11. will will Verb 14 -2.21 6.95 3.13 0.66 10 8,507,650 6.39
12. use use
used
using 		Verb 5 -2.41 3.59 2.82 0.56 5 21,334,653 2.55
13. come come
comes 		Verb 5 -3.31 3.33 4.48 0.48 4 23,928,812 2.27
14. make made
make
makes 		Verb 7 -4.15 4.25 6.82 0.58 6 24,598,453 2.21
15. would 'd
would 		Verb 9 -5.36 4.86 10.55 0.68 9 8,336,782 6.52
16. can can Verb 7 -5.85 3.93 10.89 0.58 6 14,205,177 3.83
17. have had
has
have
having 		Verb 62 -5.99 11.09 22.72 0.78 29 3,220,760 16.88
18. do did
do
does
done 		Verb 7 -14.65 2.91 34.32 0.63 7 12,411,203 4.38
19. be are
be
been
being
is
was
were 		Verb 126 -20.16 12.47 217.79 0.87 59 1,282,829 42.37
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