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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. be 're
are
be
been
being
is
was
were 		Verb 335 -36.32 15.2 662.32 0.88 79 637,433 85.28
2. do did
Do
does
doing
done 		Verb 14 -30.97 4.4 108.07 0.71 12 7,731,926 7.03
3. have had
has
hath
have
having 		Verb 72 -28.02 10.23 203.51 0.84 39 2,819,766 19.28
4. would would Verb 11 -18.14 4.23 52.09 0.68 10 15,063,910 3.61
5. get get
getting 		Verb 7 -16.95 2.73 39.48 0.58 6 12,866,992 4.22
6. can can Verb 12 -14.95 4.76 42.95 0.73 12 8,812,218 6.17
7. go go
going
went 		Verb 10 -14.25 4.18 37.56 0.66 9 12,302,483 4.42
8. will will Verb 13 -13.91 5.12 40.71 0.68 10 9,371,923 5.8
9. could could Verb 6 -13.46 2.47 28.27 0.53 5 17,005,566 3.2
10. think think
thought 		Verb 5 -13.4 1.84 25.99 0.56 5 21,569,628 2.52
11. take take
taking
took 		Verb 9 -11.08 4.11 26.54 0.64 8 8,329,721 6.53
12. come came
come 		Verb 7 -10.66 3.28 22.88 0.63 7 11,480,563 4.73
13. should should Verb 5 -9.64 2.23 17.66 0.48 4 17,836,888 3.05
14. see saw
see
seeing
seen
sees 		Verb 14 -8.29 5.93 21.72 0.66 10 11,866,806 4.58
15. make made
make
makes
making 		Verb 18 -7.78 6.84 21.74 0.73 14 5,604,282 9.7
16. may may Verb 7 -7.73 3.64 15.37 0.63 7 15,941,790 3.41
17. use use
used
using 		Verb 8 -7.59 4.12 15.79 0.61 7 12,308,718 4.42
18. find find
finds
found 		Verb 6 -7.07 3.21 12.96 0.6 6 11,451,596 4.75
19. must must Verb 5 -5.37 2.88 8.54 0.48 4 20,965,867 2.59
20. put put
putting 		Verb 5 -5.14 2.92 8.05 0.56 5 16,509,670 3.29
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