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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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TTEST
MI3
CHISQ
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. face face
faced
facing
Verb 9 2.49 8.89 36.43 0.55 6 19,714,725 2.76
2. sing sang
sing
singing
Verb 7 2.44 9.31 77.46 0.63 7 12,016,759 4.52
3. form form
formed
forming
Verb 8 2.21 8.2 22.59 0.44 5 19,188,846 2.83
4. address addressed
ADDRESSES
Verb 6 2.21 8.54 50.64 0.53 5 15,400,114 3.53
5. join join
joined
Verb 7 2.03 7.71 17.64 0.58 6 19,333,835 2.81
6. enter enter
entered
entering
Verb 6 1.9 7.33 16.22 0.6 6 13,062,838 4.16
7. lead lead
leading
led
Verb 8 1.72 7.35 7.52 0.61 7 11,291,134 4.81
8. ask ask
asked
asking
Verb 11 1.64 7.9 5.33 0.66 9 9,970,374 5.45
9. remain remain
remained
remains
Verb 5 1.12 5.64 2.49 0.48 4 26,035,804 2.09
10. move move
moved
Verb 5 0.62 5.11 0.53 0.56 5 22,027,701 2.47
11. begin began
begun
Verb 5 0.51 5.01 0.33 0.56 5 17,898,248 3.04
12. help help
helped
helps
Verb 5 0.49 5 0.31 0.17 2 34,072,346 1.6
13. hold held
hold
Verb 5 0.24 4.81 0.07 0.56 5 13,828,702 3.93
14. tell told Verb 7 -0.02 5.6 0 0.58 6 15,563,375 3.49
15. may may Verb 10 -0.27 6.52 0.07 0.44 5 21,247,619 2.56
16. take take
taken
taking
took
Verb 7 -3.68 4.36 5.74 0.63 7 8,866,918 6.13
17. will will Verb 12 -3.76 6.11 6.91 0.6 9 9,484,593 5.73
18. could could Verb 5 -4.67 3.02 7.14 0.48 4 30,918,572 1.76
19. go go
going
went
Verb 8 -4.88 4.55 8.9 0.61 7 13,716,044 3.96
20. can can Verb 9 -5.42 4.85 10.69 0.68 9 14,324,282 3.79
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