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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:
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CHISQ
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
done 		Verb 8 -47.56 1.84 132.73 0.66 8 10,155,909 5.35
2. have had
has
have
having 		Verb 51 -40.46 8.61 273.87 0.81 35 2,673,772 20.33
3. be 's
am
are
be
been
being
is
was
were 		Verb 359 -38.96 15.36 744.15 0.92 86 501,942 108.3
4. see saw
see
seen 		Verb 5 -19.87 1.34 40.54 0.56 5 19,633,335 2.77
5. take take
taken
takes 		Verb 7 -14.88 2.89 33.9 0.58 6 11,888,524 4.57
6. would would Verb 19 -13.55 6.46 45.8 0.74 15 6,969,887 7.8
7. could could Verb 9 -11.26 4.09 27.02 0.68 9 13,947,161 3.9
8. make made
make
makes
making 		Verb 17 -9.45 6.46 27.62 0.75 15 7,509,231 7.24
9. will will Verb 25 -8.86 7.82 28.95 0.76 18 5,097,244 10.66
10. find find Verb 6 -8 3.08 15.11 0.6 6 14,895,937 3.65
11. can can Verb 32 -6.71 8.87 21.07 0.82 27 5,039,294 10.79
12. must must Verb 5 -6.12 2.74 10.07 0.56 5 17,860,614 3.04
13. need need
needed
needs 		Verb 5 -5.45 2.86 8.68 0.56 5 22,075,487 2.46
14. should should Verb 12 -4.95 5.89 10.18 0.7 11 7,700,514 7.06
15. give give
given
gives
giving 		Verb 15 -4.76 6.66 10.26 0.69 12 7,112,903 7.64
16. may may Verb 14 -4.31 6.51 8.7 0.68 11 6,335,073 8.58
17. become became
become
becomes 		Verb 9 -2.88 5.37 4.27 0.68 9 11,249,524 4.83
18. help help
helped 		Verb 5 -2.6 3.53 3.13 0.56 5 18,696,695 2.91
19. use use
used
uses
using 		Verb 22 -2.2 8.36 3.33 0.72 16 6,357,383 8.55
20. produce produce
produced 		Verb 5 -1.34 3.97 1.12 0.48 4 27,836,699 1.95
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