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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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MI3
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have 		Verb 39 -23.7 8.31 130.62 0.82 30 2,862,609 18.99
2. be 's
are
be
been
being
is
was
were 		Verb 276 -19.72 15.09 266.38 0.91 88 516,545 105.24
3. do Did
do
does
doing 		Verb 16 -15.6 5.71 51.92 0.72 14 5,134,751 10.59
4. would would Verb 9 -11.32 4.09 27.49 0.68 9 9,932,321 5.47
5. will will Verb 9 -9.71 4.26 22.74 0.64 8 11,350,187 4.79
6. can ca
can 		Verb 10 -9.01 4.7 21.56 0.7 10 8,882,191 6.12
7. see see
seen 		Verb 9 -6.06 4.74 12.35 0.58 6 14,107,140 3.85
8. get get
gets
getting
got 		Verb 16 -3.83 7.03 7.61 0.74 14 6,451,962 8.43
9. use use
used
using 		Verb 8 -3.46 4.85 5.44 0.61 7 16,164,668 3.36
10. make made
make
makes
making 		Verb 17 -3.35 7.32 6.29 0.72 14 6,342,605 8.57
11. could could Verb 13 -2.92 6.54 4.77 0.7 11 6,543,351 8.31
12. must must Verb 5 -2.36 3.6 2.72 0.56 5 17,468,134 3.11
13. need need
needed
needs 		Verb 5 -1.99 3.73 2.11 0.4 3 33,523,311 1.62
14. give gave
give
given
gives 		Verb 12 -1.84 6.55 2.24 0.7 11 9,935,906 5.47
15. may may Verb 12 -1.32 6.7 1.27 0.73 12 10,557,793 5.15
16. set set Verb 5 -0.33 4.45 0.09 0.17 2 41,295,295 1.32
17. provide provide
provided
providing 		Verb 7 -0.14 5.54 0.02 0.49 5 17,870,383 3.04
18. base based Verb 5 0.98 5.47 1.7 0.56 5 22,158,178 2.45
19. change change
changed
changing 		Verb 7 1.18 6.46 2.49 0.58 6 13,167,342 4.13
20. affect affect
affected
affecting
affects 		Verb 5 1.4 6.07 5.31 0.56 5 16,104,350 3.38
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