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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
being
is
was
were 		Verb 141 -20.93 12.81 237.57 0.87 63 1,120,511 48.51
2. can ca
can 		Verb 5 -8.88 2.33 16.2 0.56 5 17,070,626 3.18
3. have had
has
have 		Verb 55 -8.86 10.43 39.87 0.77 31 2,711,753 20.05
4. will will Verb 8 -5.87 4.38 11.45 0.61 7 10,771,399 5.05
5. do did
do
done 		Verb 23 -5.76 7.91 15.74 0.78 19 3,957,760 13.73
6. get get
getting
got 		Verb 8 -4.31 4.66 7.5 0.57 6 13,523,490 4.02
7. find find
found 		Verb 5 -1.83 3.78 1.85 0.48 4 23,177,855 2.35
8. see see Verb 21 0.75 9.04 0.69 0.78 19 4,487,696 12.11
9. list lists Verb 11 3.19 11.68 277.47 0.61 8 14,493,478 3.75
10. cut cut
cuts
cutting 		Verb 20 4.09 12.2 198.02 0.64 10 13,403,697 4.06
11. reduce reduce
reduced
reducing 		Verb 23 4.45 12.83 273.74 0.68 12 7,324,021 7.42
12. lay laid
lay 		Verb 23 4.48 12.97 305.72 0.79 20 5,316,669 10.22
13. lie lain
lie
lies
lying 		Verb 59 7.52 17.32 2,652.04 0.86 43 1,849,063 29.4
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