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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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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were 		Verb 322 -52.91 14.68 1,062.22 0.87 70 890,535 61.04
2. do did
do
does
doing
done 		Verb 15 -38.77 4.35 142.71 0.72 13 7,338,776 7.41
3. go Go
goes
going
went 		Verb 6 -26.13 1.63 59.63 0.6 6 15,540,102 3.5
4. say said
says 		Verb 12 -24.84 4.14 77.52 0.68 10 8,274,430 6.57
5. have 've
had
has
have
having 		Verb 125 -24.05 12.28 204.72 0.87 61 1,194,161 45.52
6. can can Verb 13 -18.89 4.76 58.43 0.72 12 7,998,050 6.8
7. would would Verb 18 -17.08 6.01 59.48 0.65 12 9,166,461 5.93
8. come came
come 		Verb 6 -15.83 2.27 33.99 0.48 4 28,418,070 1.91
9. give gave
give
given
giving 		Verb 5 -15.09 1.69 29.69 0.56 5 13,335,333 4.08
10. see see
seen 		Verb 12 -13.07 4.92 36.33 0.58 7 17,246,446 3.15
11. could could Verb 10 -12.51 4.33 32 0.66 9 7,888,545 6.89
12. use use
used
using 		Verb 7 -11.51 3.19 25.02 0.58 6 14,141,476 3.84
13. take take
taken
takes
taking
took 		Verb 13 -11.29 5.35 31.32 0.7 11 9,184,448 5.92
14. make made
make
makes
making 		Verb 22 -9.14 7.36 28.83 0.78 19 5,593,049 9.72
15. will will Verb 35 -7.66 9.06 26.13 0.81 26 3,471,876 15.66
16. should should Verb 12 -6.29 5.68 14.17 0.64 9 12,475,949 4.36
17. show show
showed
shows 		Verb 7 -4.21 4.24 6.88 0.58 6 23,576,134 2.31
18. bring bring
brought 		Verb 5 -3.63 3.25 5.05 0.56 5 23,518,624 2.31
19. start start
starting
starts 		Verb 5 -3.31 3.33 4.44 0.4 3 29,610,064 1.84
20. call called Verb 8 -2.83 5 4.02 0.61 7 10,429,843 5.21
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