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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. marry married
marry
Verb 13 3.38 11.43 187.21 0.66 10 8,481,938 6.41
2. produce produce
produced
producing
Verb 16 3.2 10.32 51.06 0.72 13 6,632,387 8.2
3. institute instituted Verb 7 2.63 12.62 888.24 -0.01 1 54,323,440 1
4. leave leave
leaving
left
Verb 14 2.01 8.72 8.72 0.71 12 9,004,367 6.04
5. succeed succeed
succeeded
succeeding
Verb 5 1.98 7.78 34.49 0.56 5 14,044,840 3.87
6. die die
died
Verb 6 1.51 6.56 6.01 0.38 3 29,340,252 1.85
7. sell selling
sold
Verb 5 1.25 5.82 3.52 0.48 4 23,037,422 2.36
8. become became
become
becomes
becoming
Verb 10 0.92 7.14 1.19 0.7 10 10,459,146 5.2
9. pay paid
pay
Verb 6 0.81 5.75 0.98 0.43 4 32,183,477 1.69
10. should should Verb 14 0.61 7.87 0.45 0.47 8 12,407,375 4.38
11. would would Verb 9 -7.46 4.54 16.36 0.64 8 20,634,818 2.63
12. will will Verb 7 -7.89 3.62 15.96 0.49 5 29,651,571 1.83
13. be 's
am
are
be
been
being
is
was
were
Verb 210 -15.95 14.36 181.35 0.83 68 1,108,154 49.05
14. have had
has
have
having
Verb 36 -16.78 8.42 82.66 0.76 21 4,388,160 12.39
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