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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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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
're
's
are
be
been
being
is
was
were 		Verb 177 -13.7 13.91 138.57 0.89 70 1,218,259 44.62
2. have had
has
have 		Verb 46 -9.63 9.77 42.74 0.84 36 2,663,258 20.41
3. would would Verb 6 -7.99 3.08 15.34 0.6 6 21,044,411 2.58
4. make made
make
making 		Verb 5 -5.96 2.77 9.86 0.56 5 16,440,219 3.31
5. can can Verb 8 -5.27 4.48 9.92 0.66 8 12,190,978 4.46
6. see saw
see 		Verb 6 -4.16 3.74 6.51 0.6 6 12,071,813 4.5
7. know knew
know
known 		Verb 6 -3.91 3.79 5.99 0.6 6 14,095,066 3.86
8. could could Verb 6 -3.27 3.95 4.64 0.53 5 18,044,000 3.01
9. take take
takes 		Verb 7 -3.09 4.5 4.47 0.63 7 13,098,717 4.15
10. call call
called
calls 		Verb 5 0.21 4.79 0.05 0.56 5 13,855,703 3.92
11. need need
needed 		Verb 7 0.52 5.93 0.34 0.58 6 16,159,913 3.36
12. work work
working
works 		Verb 8 0.92 6.56 1.25 0.66 8 8,893,721 6.11
13. lay laid
lay 		Verb 5 1.61 6.49 9.33 0.56 5 16,313,321 3.33
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