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