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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
JD
R
AWT
fAWT
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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 51 -24.74 9.19 205.38 0.85 37 2,229,248 24.38
2. have had
have
having 		Verb 16 -13.64 5.86 47.02 0.74 14 7,012,660 7.75
3. get get
got 		Verb 5 -3.04 3.4 3.99 0.56 5 17,726,494 3.07
4. can can Verb 10 -1.43 6.11 1.44 0.61 8 35,578,246 1.53
5. may may Verb 6 -0.1 5.11 0.01 0.6 6 16,959,350 3.21
6. feel feel
felt 		Verb 7 1.44 6.74 4.54 0.63 7 11,322,042 4.8
7. hide hid
hidden
hide 		Verb 5 2.1 8.65 70.66 0.56 5 22,817,852 2.38
8. suppress suppress
suppressed
suppressing 		Verb 5 2.2 10.7 321.85 0.48 4 17,526,130 3.1
9. express express
expressed
expresses
expressing 		Verb 8 2.59 9.59 81.35 0.66 8 14,884,525 3.65
10. show show
showed
showing 		Verb 13 2.7 9.4 29.41 0.72 12 8,603,230 6.32
11. cause Cause
caused
causes
causing 		Verb 29 5.18 14.41 693.15 0.74 19 5,707,887 9.52
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