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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. increase increase
increased
increases
increasing 		Verb 22 4.13 11.99 143.54 0.75 17 5,092,592 10.67
2. vary varied
varies
vary
varying 		Verb 16 3.79 12.25 272.82 0.72 14 11,215,957 4.85
3. measure measure
measured
measures
measuring 		Verb 16 3.79 12.23 269.87 0.68 12 6,083,408 8.94
4. leaching leaching Verb 8 2.83 15.76 6,922.54 -0.01 1 54,355,389 1
5. feeling feeling Verb 8 2.76 11.44 331.14 0.54 5 16,263,094 3.34
6. reduce reduce
reduced
reduces
reducing 		Verb 9 2.19 8.24 17.94 0.64 8 12,132,547 4.48
7. reflect reflect
reflected 		Verb 5 1.55 6.35 7.87 0.48 4 17,273,874 3.15
8. determine determine
determined
determines 		Verb 5 1.51 6.27 7.08 0.56 5 17,325,289 3.14
9. show show
showed
shows 		Verb 5 -1.37 3.95 1.17 0.56 5 12,509,455 4.35
10. may may Verb 5 -4.71 3.01 7.2 0.56 5 15,787,939 3.44
11. give given
gives 		Verb 5 -5.47 2.86 8.77 0.56 5 16,020,741 3.39
12. make made
make
making 		Verb 9 -6.62 4.66 13.91 0.68 9 15,419,517 3.53
13. see see
seen 		Verb 5 -9.16 2.29 16.71 0.48 4 18,345,123 2.96
14. can can Verb 8 -9.93 3.83 22.33 0.66 8 9,821,311 5.53
15. will will Verb 5 -13.75 1.81 27.01 0.56 5 12,979,798 4.19
16. would would Verb 6 -13.99 2.42 29.86 0.6 6 20,420,619 2.66
17. have 'd
had
has
have 		Verb 26 -29.28 6.65 141.75 0.74 18 4,362,275 12.46
18. be 's
are
be
been
being
is
was
were 		Verb 112 -42.87 11.28 545.14 0.81 51 1,700,500 31.97
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