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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
JD
R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 115 -30.38 11.75 360.65 0.8 42 2,384,081 22.8
2. have 've
had
has
have
having 		Verb 21 -25.22 6.08 109.02 0.73 14 8,192,507 6.64
3. would would Verb 6 -10.35 2.78 21.01 0.53 5 20,766,058 2.62
4. can can Verb 11 -5.16 5.57 10.64 0.57 8 12,027,584 4.52
5. will will Verb 11 -5.08 5.58 10.41 0.55 7 14,209,579 3.83
6. use use
used
using 		Verb 5 -3.57 3.27 4.96 0.34 3 26,758,244 2.03
7. should should Verb 6 -2.33 4.21 2.81 0.53 5 15,475,045 3.51
8. find found Verb 11 0.22 7.02 0.05 0.26 4 18,900,062 2.88
9. offer offer
offering 		Verb 5 0.87 5.35 1.23 0.28 2 51,986,960 1.05
10. support supporting
supports 		Verb 5 1.35 5.97 4.56 0.48 4 30,471,602 1.78
11. amend Amend Verb 5 2.17 9.67 153.05 -0.01 1 54,358,264 1
12. change change Verb 10 2.26 8.46 18.08 0.37 5 19,834,281 2.74
13. define define
defined
defining 		Verb 9 2.66 9.5 63.34 0.1 2 51,271,647 1.06
14. specify specified Verb 17 4.02 13.47 633.9 0.05 2 27,534,306 1.97
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