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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
CHISQ
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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. allow allow
allowing
allows
Verb 10 2.68 9.35 47.14 0.52 6 16,733,512 3.25
2. enable enable
enables
enabling
Verb 8 2.67 10.13 124.9 0.27 2 51,544,301 1.05
3. prepare prepare
preparing
Verb 7 2.47 9.5 89.74 -0.01 1 54,356,889 1
4. write write
writes
writing
written
Verb 9 2.41 8.69 29.8 0.61 7 12,412,062 4.38
5. use use
uses
using
Verb 14 2.27 8.96 13.19 0.62 9 9,248,638 5.88
6. develop develop
developed
developing
Verb 7 2.25 8.34 33.45 0.49 5 18,078,478 3.01
7. shall shall Verb 6 2.08 7.9 28.84 -0.01 1 54,357,481 1
8. create create
created
Verb 6 2.05 7.79 25.89 0.48 4 30,572,339 1.78
9. will will Verb 19 1.65 9.18 4.45 0.35 7 12,640,478 4.3
10. call call
called
Verb 6 1.49 6.52 5.66 0.6 6 14,685,434 3.7
11. give gave
give
given
gives
giving
Verb 8 0.81 6.49 0.94 0.57 6 15,708,755 3.46
12. must must Verb 5 0.81 5.29 1.04 0.17 2 40,934,004 1.33
13. can can Verb 15 0.79 8.14 0.8 0.56 7 13,129,849 4.14
14. want want
wants
Verb 5 0.45 4.97 0.26 0.48 4 17,365,538 3.13
15. may may Verb 5 -0.06 4.61 0 0.4 3 34,290,858 1.59
16. have 've
had
has
have
having
Verb 22 -7.67 7.52 24.89 0.68 13 8,120,805 6.69
17. be 're
are
be
being
is
was
were
Verb 42 -22.39 8.63 168.61 0.75 22 3,793,025 14.33
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