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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 are
be
been
being
is
was
were 		Verb 62 -21.97 9.99 190.77 0.85 39 2,471,288 22
2. have had
has
have 		Verb 10 -19.86 3.78 60.41 0.66 9 14,493,999 3.75
3. will will Verb 8 -2.42 5.11 3.23 0.57 6 17,712,877 3.07
4. make made
make
making 		Verb 7 -1.89 4.84 2.11 0.53 5 19,898,707 2.73
5. take Take
taken
taking
took 		Verb 6 -1.6 4.44 1.58 0.53 5 23,476,913 2.32
6. bring bring
brought 		Verb 6 1.46 6.48 5.29 0.6 6 19,026,433 2.86
7. consider consider Verb 5 1.51 6.26 6.99 0.48 4 25,752,213 2.11
8. alleviate alleviate
alleviating 		Verb 5 2.22 11.97 790.66 0.56 5 15,508,447 3.51
9. describe describe
described
describes
Describing 		Verb 8 2.36 8.58 33.29 0.61 7 15,309,008 3.55
10. publicise publicise
publicised
publicising 		Verb 7 2.64 13.83 2,070.68 0.63 7 8,420,625 6.46
11. ignore ignore
ignored
ignores
ignoring 		Verb 9 2.86 10.81 181.71 0.68 9 8,375,418 6.49
12. ease ease
easing 		Verb 9 2.96 12.41 587.75 0.5 6 14,829,057 3.67
13. highlight highlight
highlighted
highlighting
highlights 		Verb 24 4.87 16.43 3,634.01 0.75 17 6,902,215 7.88
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