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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. say said
says
Verb 112 9.24 16.59 691.34 0 2 53,308,574 1.02
2. minister Minister Verb 22 4.68 18.64 18,545.15 0.04 2 40,303,008 1.35
3. defend defended
defending
Verb 11 3.26 12.81 629.46 0.08 2 53,236,731 1.02
4. claim claimed
claims
Verb 9 2.72 9.77 80.01 -0.01 1 54,161,225 1
5. hit hit Verb 6 2.26 8.86 65.92 -0.01 1 53,593,986 1.01
6. launch launched Verb 5 2.11 8.74 75.98 0.28 2 53,673,520 1.01
7. meet meet
met
Verb 5 1.62 6.5 9.55 0.17 2 51,124,349 1.06
8. believe believed
believes
Verb 5 1.56 6.37 8.1 -0.01 1 53,823,508 1.01
9. ask asked
asking
asks
Verb 6 1.39 6.38 4.52 0.15 2 51,109,742 1.06
10. will will Verb 7 -1.75 4.88 1.89 -0.01 1 53,834,276 1.01
11. would would Verb 8 -1.8 5.29 2.04 0.11 2 27,694,372 1.96
12. have had
has
have
Verb 30 -4.94 8.89 14.3 0.16 4 35,593,263 1.53
13. be 's
are
be
been
being
is
was
were
Verb 43 -21.52 8.75 162.05 0.16 6 13,247,898 4.1
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