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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
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. support support
supports 		Verb 12 3.12 10.5 97.9 0.36 4 38,589,333 1.41
2. will will Verb 33 2.83 11.07 16.2 0.19 3 51,358,287 1.06
3. say said
say
says 		Verb 33 2.19 10.78 7.98 0.29 2 51,971,133 1.05
4. expect expect
expects 		Verb 8 2.19 8.15 21.28 0.11 2 52,088,158 1.04
5. integrate integrate
integrated
integrating 		Verb 5 2.17 9.81 169.5 0.34 3 51,755,802 1.05
6. include include
includes 		Verb 6 1.53 6.58 6.23 0.25 2 51,487,432 1.06
7. work work
worked
working 		Verb 5 0.46 4.97 0.26 0.17 2 52,005,899 1.05
8. use use
uses
using 		Verb 5 -1.25 4 1.01 0.34 3 51,736,621 1.05
9. take take
takes 		Verb 7 -1.58 4.94 1.58 0.26 3 51,880,516 1.05
10. could could Verb 6 -1.76 4.39 1.83 0.15 2 30,474,249 1.78
11. go go
going
went 		Verb 7 -2.86 4.56 4 0.13 2 53,964,760 1.01
12. see see
seen
sees 		Verb 5 -3.09 3.39 4.08 0.34 3 31,558,075 1.72
13. make made
make
makes 		Verb 5 -3.8 3.21 5.44 0.34 3 29,818,658 1.82
14. have had
has
have
having 		Verb 52 -4.16 10.74 12.22 0.32 5 21,960,943 2.48
15. be 're
are
be
been
being
is
was
were 		Verb 85 -19.48 11.18 182.58 0.37 7 18,823,861 2.89
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