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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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TTEST
MI3
CHISQ
JD
R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
doing 		Verb 13 -49.7 3.51 174.69 0.68 11 7,318,189 7.43
2. be 'm
's
am
are
be
been
being
is
was
were 		Verb 450 -48.54 15.91 1,073.81 0.87 84 579,101 93.87
3. get get
got 		Verb 6 -28.88 1.49 66.38 0.6 6 15,370,711 3.54
4. have 'd
've
had
has
have
having 		Verb 132 -28.42 12.29 259.27 0.87 59 1,170,266 46.45
5. go going
gone
went 		Verb 7 -28.15 2.07 69.37 0.63 7 15,447,614 3.52
6. take take
taken
takes
took 		Verb 5 -25.73 1 53.7 0.56 5 13,019,455 4.18
7. can ca
can 		Verb 11 -25.14 3.82 75.29 0.5 7 13,293,325 4.09
8. say said
say
saying
says 		Verb 20 -21.04 6.13 79.69 0.75 17 5,200,333 10.45
9. think think
thinking
thought 		Verb 5 -20.91 1.27 42.75 0.56 5 15,051,622 3.61
10. would would Verb 22 -17.76 6.66 67.52 0.77 18 5,654,105 9.61
11. give gave
give
giving 		Verb 6 -15.95 2.26 34.24 0.6 6 16,345,835 3.33
12. may may Verb 5 -15.93 1.62 31.53 0.48 4 20,802,402 2.61
13. will will
willed 		Verb 23 -14.7 7.02 54.31 0.72 17 7,544,782 7.2
14. make made
make
makes
making 		Verb 17 -14.19 6.02 46.13 0.72 13 9,216,843 5.9
15. find find
found 		Verb 6 -11.64 2.65 23.74 0.6 6 14,585,356 3.73
16. should should Verb 9 -10.1 4.21 23.59 0.68 9 9,196,784 5.91
17. could could Verb 22 -7.61 7.53 22.37 0.76 18 4,901,346 11.09
18. seem seem
seemed 		Verb 5 -7.39 2.54 12.76 0.56 5 24,946,529 2.18
19. ask asked
asking 		Verb 5 -7.07 2.59 12.07 0.56 5 16,137,107 3.37
20. follow followed Verb 5 -4.99 2.95 7.73 0.56 5 26,744,143 2.03
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