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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
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. swimming swimming Verb 12 3.45 14.74 2,256.59 0.73 12 6,906,285 7.87
2. pack pack
packed 		Verb 7 2.55 10.34 171.34 0.53 5 14,876,833 3.65
3. open opened
opening 		Verb 7 1.89 7.42 12.44 0.53 5 15,956,151 3.41
4. support supported
supporting 		Verb 5 1.48 6.22 6.57 0.48 4 30,117,783 1.8
5. stand standing
stood 		Verb 5 1.05 5.56 2.09 0.48 4 17,804,876 3.05
6. run ran
run
running 		Verb 5 0.66 5.14 0.61 0.56 5 14,123,033 3.85
7. leave leaving
left 		Verb 6 0.21 5.3 0.05 0.6 6 11,725,404 4.64
8. put put
puts 		Verb 5 -0.51 4.35 0.21 0.56 5 19,186,660 2.83
9. use use
used
uses
using 		Verb 8 -1.05 5.54 0.81 0.42 4 19,270,839 2.82
10. get get
got 		Verb 6 -5.43 3.48 9.33 0.53 5 22,082,185 2.46
11. make made
make
makes 		Verb 5 -6.26 2.72 10.49 0.56 5 20,981,750 2.59
12. will will Verb 6 -7.15 3.2 13.33 0.6 6 20,083,210 2.71
13. would would Verb 6 -8.37 3.03 16.24 0.6 6 14,155,407 3.84
14. can can Verb 5 -8.38 2.4 15.12 0.48 4 24,170,819 2.25
15. have had
has
Have 		Verb 30 -15.58 7.87 70.4 0.8 23 5,025,908 10.82
16. be 'm
's
are
be
been
is
was
were 		Verb 69 -36.51 9.79 370.1 0.85 42 2,015,012 26.98
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