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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. contain contain
contained
containing
contains 		Verb 28 4.94 13.53 368.05 0.71 15 6,207,179 8.76
2. need need
needed
needs 		Verb 18 2.66 9.76 19.14 0.74 15 8,995,349 6.04
3. retain retain
retaining
retains 		Verb 6 2.18 8.33 42.3 0.6 6 18,810,680 2.89
4. trace trace Verb 5 2.12 8.85 82.65 0.48 4 19,196,311 2.83
5. reduce reduce
reduced
reduces 		Verb 7 1.95 7.55 14.63 0.45 4 22,457,504 2.42
6. obtain obtain
obtained
obtaining 		Verb 5 1.65 6.56 10.25 0.34 3 26,590,174 2.04
7. take TAKE
taken
takes
taking
took 		Verb 25 1.38 9.75 2.68 0.74 18 4,702,789 11.56
8. help help
helps 		Verb 6 0.73 5.68 0.76 0.53 5 29,415,060 1.85
9. may may Verb 11 -0.23 6.82 0.05 0.66 9 8,504,720 6.39
10. give give
given
gives
giving 		Verb 11 -0.62 6.67 0.32 0.48 6 12,817,923 4.24
11. find find
found 		Verb 7 -1.13 5.1 0.9 0.53 5 20,653,940 2.63
12. can can Verb 19 -1.91 7.97 2.58 0.7 13 12,257,211 4.43
13. get get
getting
got 		Verb 7 -5.75 3.95 10.59 0.58 6 14,874,890 3.65
14. have had
has
have
having 		Verb 31 -18.26 7.81 86.84 0.77 21 3,639,861 14.93
15. do did
does 		Verb 5 -22.63 1.17 48.14 0.56 5 15,945,055 3.41
16. be 's
are
be
been
being
is
was
were 		Verb 145 -23.51 12.8 280.47 0.8 38 2,389,990 22.74
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