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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. have has
have
Verb 8 -23.06 2.81 64.77 0.66 8 13,391,355 4.06
2. be are
be
been
being
is
was
were
Verb 87 -16.01 11.44 141.34 0.8 35 3,165,141 17.17
3. make made
make
Verb 5 -3.16 3.37 4.2 0.48 4 22,445,791 2.42
4. can can Verb 7 -3.05 4.51 4.42 0.63 7 17,613,508 3.09
5. see see Verb 5 -2.52 3.55 3.04 0.48 4 34,506,968 1.58
6. may may Verb 9 0.84 6.81 0.98 0.64 8 10,752,956 5.06
7. bring bring
bringing
brought
Verb 6 1.45 6.47 5.22 0.53 5 14,183,347 3.83
8. require required
requires
Verb 5 1.51 6.27 7.07 0.56 5 17,614,643 3.09
9. add add
added
adding
adds
Verb 8 2.28 8.37 27.09 0.66 8 10,689,272 5.09
10. need need
needed
needs
Verb 12 2.4 8.87 18.72 0.66 9 7,934,792 6.85
11. absorb absorb
absorbed
absorbing
Verb 7 2.59 11.15 311.39 0.58 6 15,029,395 3.62
12. provide provide
provides
providing
Verb 12 2.63 9.22 28.86 0.73 12 11,390,558 4.77
13. contain contain
contained
containing
contains
Verb 14 3.47 11.38 164.22 0.69 11 7,096,097 7.66
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