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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 am
are
be
been
is
was
were 		Verb 37 -29.38 7.88 221.79 0.81 26 3,903,766 13.92
2. have had
has
have
having 		Verb 17 -12.09 6.2 41.43 0.75 15 6,538,877 8.31
3. can ca
can 		Verb 6 -3.17 3.97 4.47 0.53 5 18,178,401 2.99
4. could could Verb 5 -1.52 3.89 1.4 0.56 5 15,958,546 3.41
5. see saw
see 		Verb 6 -1.52 4.47 1.44 0.53 5 20,292,860 2.68
6. know knew
know
knowing
known
knows 		Verb 8 -0.48 5.77 0.2 0.66 8 13,587,612 4
7. bring bring
brings
brought 		Verb 8 2.04 7.85 15.03 0.61 7 16,000,087 3.4
8. feel feel
feeling
feels
felt 		Verb 12 2.59 9.16 26.68 0.7 11 9,563,021 5.68
9. express express
expressed
expressing 		Verb 12 3.28 11.43 206.26 0.73 12 7,372,053 7.37
10. share share
shared 		Verb 14 3.59 12.27 324.97 0.53 9 12,902,456 4.21
11. drown drown
drowned
drowning
drowns 		Verb 40 6.31 19.82 23,115.82 0.82 28 4,242,005 12.81
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