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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:
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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 92 -18.89 11.48 180.06 0.82 45 1,915,049 28.39
2. have had
has
have 		Verb 37 -7.83 9.22 29.91 0.79 24 3,657,835 14.86
3. say said
saying
says 		Verb 5 -7.19 2.57 12.58 0.56 5 17,507,068 3.1
4. would would Verb 5 -6.46 2.68 10.99 0.48 4 22,342,619 2.43
5. will will Verb 6 -4.6 3.65 7.51 0.6 6 12,549,132 4.33
6. can ca
can 		Verb 8 -3.33 4.88 5.21 0.66 8 15,914,822 3.42
7. use use
used
uses 		Verb 7 -0.4 5.41 0.14 0.63 7 11,077,132 4.91
8. come came
comes
coming 		Verb 11 0.42 7.11 0.2 0.68 10 7,558,531 7.19
9. make made
make
making 		Verb 18 0.96 8.71 1.2 0.77 17 5,945,836 9.14
10. bring bring
bringing
brought 		Verb 6 1.3 6.26 3.6 0.6 6 18,650,068 2.91
11. build build
built 		Verb 6 1.84 7.17 13.5 0.6 6 23,798,979 2.28
12. train train
trained 		Verb 5 2.08 8.53 64.27 0.56 5 15,769,759 3.45
13. create create
created
creates 		Verb 7 2.11 7.91 21.84 0.58 6 21,039,536 2.58
14. employ employ
employed
employing 		Verb 6 2.24 8.7 57.72 0.6 6 17,510,475 3.1
15. work work
worked
working 		Verb 19 3.42 10.7 54.18 0.73 15 6,150,671 8.84
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