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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. have had
has
have
having 		Verb 22 -11.82 7.1 44.25 0.04 2 39,669,063 1.37
2. be are
be
been
being
is
was
were 		Verb 129 -10.65 13.07 87.68 0.04 4 24,832,945 2.19
3. do do
does 		Verb 9 -7.82 4.49 17.73 -0.01 1 54,317,006 1
4. make made
make
makes
making 		Verb 7 -2.17 4.75 2.64 0.13 2 28,290,689 1.92
5. use use
used 		Verb 11 1.1 7.5 1.81 0.08 2 49,044,516 1.11
6. can can Verb 21 1.1 9.18 1.64 -0.01 1 54,315,824 1
7. involve involve
involves 		Verb 5 1.62 6.51 9.59 -0.01 1 54,323,752 1
8. occur occurred
occurs 		Verb 5 1.81 7.05 17.52 0.17 2 31,653,682 1.72
9. represent represent
represented
representing
represents 		Verb 8 2.5 9.09 53.34 -0.01 1 54,329,875 1
10. express express
expresses 		Verb 12 3.25 11.21 174.9 -0.01 1 54,321,411 1
11. denote denote
denotes
denoting 		Verb 12 3.45 15.04 2,790.96 -0.01 1 54,316,473 1
12. evoke evoke
evoked
evokes
evoking 		Verb 31 5.56 18.92 15,977.53 -0.01 1 54,316,286 1
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