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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. use use
used
using 		Verb 28 3.95 11.6 62.27 0.71 16 4,846,606 11.22
2. skating skating Verb 15 3.87 18.91 32,805.79 0.55 9 10,224,174 5.32
3. skate skated
skates 		Verb 10 3.16 16.76 11,067.45 0.66 9 9,291,379 5.85
4. set set
Setting 		Verb 9 2.24 8.32 19.82 0.47 5 17,647,000 3.08
5. put put
putting 		Verb 8 1.43 7.01 4.12 0.57 6 13,632,790 3.99
6. give gave
give
gives 		Verb 9 0.56 6.64 0.38 0.61 7 22,688,883 2.4
7. make made
make
makes
making 		Verb 8 -1.51 5.38 1.52 0.57 6 14,251,130 3.81
8. get get
gets
got 		Verb 8 -1.58 5.36 1.64 0.57 6 19,278,001 2.82
9. take take
taken
takes
took 		Verb 6 -1.7 4.41 1.73 0.6 6 11,397,619 4.77
10. go Go
going 		Verb 5 -3.69 3.24 5.23 0.56 5 14,509,582 3.75
11. can can Verb 5 -4.63 3.03 7.13 0.56 5 15,972,384 3.4
12. do do
doing 		Verb 6 -10.31 2.79 21.33 0.53 5 19,563,650 2.78
13. have 've
had
has
have 		Verb 19 -12.75 6.52 46.16 0.68 12 6,573,236 8.27
14. be 'm
's
are
be
been
being
is
was
were 		Verb 74 -19.37 10.72 172.87 0.84 42 2,087,728 26.04
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