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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. cause cause
caused
causes
causing
Verb 97 9.69 19.16 5,865.03 0.87 50 1,867,027 29.12
2. avoid avoid
avoiding
Verb 14 3.5 11.56 188.93 0.63 10 8,623,895 6.3
3. minimise minimise
minimising
Verb 11 3.29 14.11 1,583.29 0.66 9 11,319,781 4.8
4. prevent prevent Verb 8 2.55 9.32 64.73 0.66 8 7,684,799 7.07
5. involve involve
involved
involves
involving
Verb 8 2.22 8.21 22.7 0.66 8 10,780,974 5.04
6. occur occur
occurred
occurring
occurs
Verb 7 2.2 8.17 28.46 0.63 7 9,984,174 5.44
7. suffer suffer
suffered
suffering
Verb 5 1.84 7.12 18.81 0.56 5 14,134,311 3.85
8. create create
creates
creating
Verb 6 1.78 7.04 11.54 0.53 5 15,088,529 3.6
9. lead lead
led
Verb 7 1.7 7.1 8.09 0.63 7 11,488,048 4.73
10. may may Verb 12 0.96 7.64 1.3 0.7 11 8,393,812 6.48
11. keep Keep
keeping
kept
Verb 5 0.57 5.07 0.43 0.56 5 19,922,379 2.73
12. will will Verb 9 -3.64 5.19 6.12 0.64 8 16,831,248 3.23
13. can can Verb 9 -3.71 5.18 6.28 0.64 8 11,664,126 4.66
14. would would Verb 8 -5.11 4.51 9.52 0.66 8 10,499,668 5.18
15. have had
has
have
having
Verb 19 -18.06 6.13 70.71 0.78 18 4,711,474 11.54
16. be are
be
been
being
is
was
were
Verb 79 -26.6 10.61 265.47 0.87 46 1,820,667 29.86
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