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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
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. work Work
worked
working
Verb 18 2.93 10.03 27.76 0.62 10 9,636,930 5.64
2. arrange arrange
arranged
arranges
arranging
Verb 9 2.79 10.17 111.15 0.61 7 11,888,106 4.57
3. lead lead
leading
leads
led
Verb 13 2.79 9.54 34.41 0.29 5 12,140,181 4.48
4. ensure ensure Verb 6 1.93 7.41 17.68 0.43 4 16,637,846 3.27
5. complete complete Verb 5 1.84 7.13 18.85 -0.01 1 54,357,472 1
6. achieve achieved Verb 6 1.83 7.16 13.4 0.48 4 30,128,101 1.8
7. break break
broke
broken
Verb 6 1.78 7.05 11.76 0.48 4 17,990,573 3.02
8. support support
supports
Verb 6 1.77 7.01 11.19 0.48 4 13,906,672 3.91
9. involve involve
involves
involving
Verb 5 1.32 5.94 4.31 0.56 5 13,195,751 4.12
10. receive receive
receiving
Verb 5 1.25 5.83 3.6 0.17 2 53,944,833 1.01
11. offer offer
offered
offers
Verb 5 1.08 5.6 2.29 0.56 5 16,297,888 3.34
12. include include
included
including
Verb 5 0.82 5.3 1.07 0.48 4 18,597,613 2.92
13. find find
finding
found
Verb 8 -0.23 5.89 0.05 0.66 8 14,641,661 3.71
14. need need
needed
needing
Verb 5 -0.36 4.43 0.11 0.34 3 46,594,837 1.17
15. should should Verb 7 -1.08 5.12 0.83 0.58 6 13,496,144 4.03
16. will will Verb 18 -1.28 7.96 1.29 0.72 13 6,541,365 8.31
17. may may Verb 5 -2.32 3.62 2.66 0.48 4 32,497,967 1.67
18. use use
used
using
Verb 5 -2.65 3.52 3.25 0.56 5 18,004,900 3.02
19. can can Verb 11 -3.82 5.81 6.92 0.71 11 8,475,164 6.41
20. make made
make
makes
making
Verb 7 -4.51 4.18 7.65 0.58 6 11,643,332 4.67
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