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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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excelSpreadsheet
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TTEST
MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. file file
filed
filing
Verb 18 4.21 15.6 2,726.29 0.73 15 10,473,365 5.19
2. face face
faced
faces
facing
Verb 16 3.65 11.5 150.96 0.69 12 9,272,885 5.86
3. avoid avoid
avoided
avoids
Verb 9 2.65 9.44 60.27 0.64 8 12,302,261 4.42
4. present present
presented
Verb 9 2.58 9.19 48.21 0.29 3 26,429,438 2.06
5. apply applied
applies
apply
Verb 9 2.43 8.74 31.31 0.47 5 14,672,652 3.7
6. annul annul
annulling
Verb 5 2.23 13.32 2,031.55 0.17 2 53,848,595 1.01
7. rescind rescind
rescinding
Verb 5 2.23 12.83 1,442.25 -0.01 1 54,356,353 1
8. rise rise
rising
rose
Verb 5 1.66 6.59 10.61 0.56 5 16,045,594 3.39
9. cause cause
caused
Verb 5 1.43 6.12 5.71 0.56 5 13,999,973 3.88
10. lead lead
leading
leads
Verb 6 1.27 6.22 3.34 0.6 6 10,955,911 4.96
11. become become
becomes
Verb 8 0.75 6.45 0.78 0.44 4 18,057,773 3.01
12. must must Verb 8 0.63 6.37 0.52 0.34 4 19,733,978 2.75
13. make made
make
Verb 21 0.52 8.96 0.31 0.54 9 9,423,011 5.77
14. may may Verb 7 -1.14 5.1 0.91 0.53 5 13,709,568 3.97
15. should should Verb 6 -1.51 4.48 1.42 0.53 5 21,353,561 2.55
16. can can Verb 15 -2.13 7.18 3 0.5 9 8,966,999 6.06
17. go go
goes
gone
went
Verb 7 -4.94 4.09 8.68 0.63 7 11,828,863 4.6
18. will will Verb 5 -8.07 2.44 14.43 0.48 4 20,469,276 2.66
19. say said
say
says
Verb 6 -9.03 2.94 17.86 0.6 6 11,283,063 4.82
20. would would Verb 5 -9.37 2.27 17.32 0.4 3 21,390,271 2.54
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