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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:
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
am
are
be
been
being
is
was
were 		Verb 87 -15.37 11.48 133.62 0.85 49 1,662,637 32.69
2. have 'd
had
has
have 		Verb 16 -13.84 5.84 47.89 0.75 15 6,206,047 8.76
3. do did
do 		Verb 10 -6.3 5.06 13.86 0.64 8 11,810,060 4.6
4. would 'd
would 		Verb 5 -5.09 2.93 8.11 0.56 5 16,375,988 3.32
5. will will Verb 5 -4.27 3.1 6.41 0.56 5 14,854,034 3.66
6. can ca
can 		Verb 9 -1.9 5.63 2.25 0.64 8 10,376,366 5.24
7. think think
thought 		Verb 5 -1.37 3.96 1.17 0.48 4 23,757,621 2.29
8. make made
make
makes
making 		Verb 8 -1.33 5.45 1.22 0.66 8 16,920,858 3.21
9. should should Verb 5 -0.5 4.35 0.21 0.48 4 35,575,979 1.53
10. could could Verb 9 0.01 6.34 0 0.61 7 10,645,786 5.11
11. win win
won 		Verb 5 1.65 6.58 10.43 0.48 4 17,115,139 3.18
12. allow allow
allowed 		Verb 6 1.68 6.84 9.06 0.53 5 14,474,896 3.76
13. play play
played
playing 		Verb 7 1.89 7.42 12.45 0.63 7 17,850,139 3.05
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