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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. cause cause
caused
causes
causing
Verb 43 6.35 15.82 1,266.57 0.83 31 2,833,535 19.18
2. suffer suffer
suffered
suffering
Verb 34 5.7 15.6 1,398.5 0.74 24 3,735,094 14.55
3. face face
faced
facing
Verb 17 3.86 12.16 236.03 0.76 16 3,843,804 14.14
4. endure Endure
endured
Verb 15 3.85 15.52 3,094.37 0.69 11 6,529,334 8.33
5. experience experience
experienced
experiencing
Verb 13 3.48 12.29 359.45 0.61 8 9,152,437 5.94
6. inflict inflict
inflicted
Verb 7 2.62 12.25 682.16 0.58 6 10,300,274 5.28
7. impose impose
imposed
Verb 7 2.49 9.67 102.66 0.63 7 9,404,833 5.78
8. alleviate alleviate
alleviating
Verb 6 2.43 12.51 963.05 0.6 6 17,423,975 3.12
9. increase increase
increased
increases
increasing
Verb 7 2.16 8.06 25.39 0.63 7 13,278,144 4.09
10. bring bring
bringing
brings
brought
Verb 9 2.04 7.99 13.16 0.64 8 9,392,874 5.79
11. reduce reduce
reducing
Verb 5 1.7 6.72 12.25 0.56 5 17,842,260 3.05
12. create create
created
creates
Verb 5 1.59 6.43 8.71 0.56 5 27,928,502 1.95
13. lead lead
led
Verb 5 1.25 5.82 3.55 0.56 5 19,093,710 2.85
14. may may Verb 7 -0.24 5.49 0.05 0.63 7 10,622,310 5.12
15. would would Verb 11 -2.65 6.07 3.99 0.68 10 7,940,904 6.85
16. will will Verb 9 -2.85 5.38 4.26 0.68 9 9,673,911 5.62
17. make made
make
makes
Verb 6 -3.34 3.93 4.8 0.6 6 13,617,804 3.99
18. have had
has
have
having
Verb 24 -12.67 7.33 49.93 0.81 23 3,650,732 14.89
19. be 're
's
are
be
been
being
is
was
were
Verb 89 -20.02 11.31 192.31 0.89 58 1,312,799 41.41
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