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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. be 'm
's
are
be
been
is
was
were 		Verb 112 -65.11 10.78 887.98 0.84 46 1,744,954 31.15
2. have had
has
have
Having 		Verb 29 -40.7 6.62 215.85 0.74 18 5,137,706 10.58
3. would would Verb 6 -20.82 1.92 46.75 0.6 6 16,967,333 3.2
4. can can Verb 5 -20.61 1.29 42.49 0.34 3 44,666,980 1.22
5. will will Verb 5 -20.4 1.3 41.99 0.48 4 26,248,782 2.07
6. say said
say 		Verb 11 -15.31 4.43 42.84 0.59 7 11,760,122 4.62
7. could could Verb 5 -11.73 2 22.32 0.56 5 16,887,601 3.22
8. give gave
give
given
gives 		Verb 5 -8.68 2.36 15.59 0.56 5 17,408,083 3.12
9. use use
used
using 		Verb 7 -6.28 3.86 11.8 0.49 5 17,674,741 3.08
10. suggest suggest Verb 5 -0.22 4.51 0.04 0.28 2 32,581,301 1.67
11. lose lose
lost 		Verb 8 0.99 6.62 1.5 0.44 5 12,741,602 4.27
12. exceed exceed
exceeding 		Verb 5 1.97 7.72 32.75 0.48 4 15,210,994 3.57
13. infect infected Verb 5 2.17 9.73 159.8 0.17 2 33,572,545 1.62
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