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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. reduce reduce
reduced
reduces
reducing 		Verb 38 5.88 14.94 753.79 0.76 23 4,378,142 12.42
2. increase increase
increased
increases
increasing 		Verb 29 5.03 13.65 388.93 0.74 16 5,492,473 9.9
3. limit limit Verb 6 2.22 8.57 51.87 0.6 6 19,717,813 2.76
4. restrict restrict
restricted 		Verb 5 2.06 8.35 55.68 0.56 5 27,171,003 2
5. control Control
controlling
controls 		Verb 5 1.76 6.87 14.47 0.56 5 17,826,407 3.05
6. cut cut
cutting 		Verb 6 1.72 6.93 10.05 0.6 6 21,932,626 2.48
7. require require
required 		Verb 6 1.31 6.27 3.67 0.6 6 11,825,965 4.6
8. mean mean
MEANS 		Verb 5 -0.64 4.28 0.32 0.4 3 20,373,156 2.67
9. should should Verb 7 -1.46 4.98 1.38 0.63 7 10,525,337 5.16
10. may may Verb 6 -2.13 4.27 2.45 0.48 4 18,025,874 3.02
11. can ca
can 		Verb 11 -4.54 5.67 8.89 0.71 11 8,413,501 6.46
12. will will Verb 5 -9.31 2.28 17.14 0.56 5 21,507,868 2.53
13. have had
has
have
having 		Verb 29 -18.12 7.59 83.85 0.78 22 3,510,158 15.49
14. do do
doing 		Verb 5 -21.49 1.24 45.5 0.56 5 26,736,212 2.03
15. be are
be
been
is
was
were 		Verb 125 -25.36 12.22 294.74 0.82 54 1,286,864 42.24
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