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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 'm
's
are
be
been
being
is
was
were 		Verb 413 -79.99 15.08 1,942.51 0.91 91 460,912 117.94
2. do did
do
does
doing
done 		Verb 17 -60.1 4.21 242.46 0.73 14 7,197,130 7.55
3. say said
say
says 		Verb 11 -44.08 3.08 139.61 0.71 11 6,985,199 7.78
4. can can Verb 13 -32.46 4.08 107.66 0.7 11 7,541,481 7.21
5. go go
goes
going
gone
went 		Verb 10 -32.33 3.16 94.92 0.7 10 23,522,087 2.31
6. would would Verb 19 -28.92 5.56 112.26 0.78 18 5,913,385 9.19
7. could could Verb 8 -25.27 2.69 65.15 0.66 8 9,108,151 5.97
8. use used
using 		Verb 5 -24.63 1.06 51.01 0.56 5 29,655,210 1.83
9. make made
Make
making 		Verb 15 -22.98 5.02 77.53 0.74 14 7,250,746 7.5
10. will will Verb 24 -21.39 6.75 87.14 0.78 19 5,798,966 9.37
11. give gave
give
given
giving 		Verb 8 -19.13 3.04 47.64 0.61 7 9,107,450 5.97
12. look look
looked
looking
looks 		Verb 7 -17.79 2.67 41.36 0.58 6 20,646,846 2.63
13. may may Verb 8 -16.95 3.19 41.49 0.61 7 10,662,472 5.1
14. have 've
had
has
have
Having 		Verb 344 -15.51 15.98 146.07 0.91 86 537,903 101.06
15. must must Verb 5 -13.28 1.85 25.58 0.56 5 14,174,351 3.84
16. mean means
meant 		Verb 6 -10.66 2.75 21.36 0.6 6 15,623,275 3.48
17. try tried
try
trying 		Verb 5 -9.48 2.25 17.24 0.56 5 14,776,630 3.68
18. come came
come
comes 		Verb 26 -8.98 7.94 29.57 0.79 22 4,433,063 12.26
19. hold held
hold 		Verb 5 -8.02 2.45 14.08 0.56 5 15,054,316 3.61
20. work work
worked
working
wrought 		Verb 8 -8.02 4.06 16.86 0.61 7 11,122,311 4.89
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