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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:
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excelSpreadsheet
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. grow grew
grow
growing
grown
Verb 33 5.44 14.31 551.33 0.61 19 5,419,643 10.03
2. dry dried
drying
Verb 23 4.74 15.48 1,937.97 0.12 3 25,849,858 2.1
3. mixed mixed Verb 12 3.44 14.21 1,558.87 0.66 9 10,049,532 5.41
4. use use
used
uses
using
Verb 26 2.79 10.54 17.33 0.62 13 8,173,940 6.65
5. plant plant
planted
Verb 8 2.74 11 241.1 0.61 7 10,266,262 5.29
6. chop Chop
chopped
chopping
Verb 6 2.41 11.15 365.62 0.6 6 23,615,232 2.3
7. flavour flavour
flavoured
Verb 5 2.23 12.92 1,537.67 0.48 4 20,069,020 2.71
8. add Add
added
Verb 9 2.13 8.13 15.68 0.64 8 16,480,159 3.3
9. contain contained
containing
Verb 6 1.74 6.96 10.48 0.43 4 18,203,294 2.99
10. keep keep Verb 5 0.12 4.72 0.02 0.48 4 18,124,812 3
11. can can Verb 24 -0.31 9.08 0.09 0.4 8 16,533,016 3.29
12. should should Verb 8 -0.93 5.59 0.65 0.32 3 27,056,516 2.01
13. come came
come
comes
Verb 7 -2.68 4.61 3.6 0.35 3 29,962,919 1.81
14. know know
known
knows
Verb 7 -3.91 4.31 6.26 0.58 6 14,057,458 3.87
15. make made
make
makes
making
Verb 8 -4.38 4.65 7.67 0.61 7 14,206,913 3.83
16. take take
takes
taking
Verb 6 -4.45 3.68 7.13 0.53 5 18,852,872 2.88
17. will will Verb 7 -6.9 3.76 13.49 0.45 4 21,964,359 2.47
18. would would Verb 5 -10.49 2.14 19.8 0.56 5 30,580,242 1.78
19. do do
does
Verb 9 -14.31 3.81 37.1 0.38 4 20,213,858 2.69
20. have had
has
have
having
Verb 27 -18.65 7.31 84.48 0.5 14 6,404,510 8.49
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