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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
am
are
be
been
being
is
was
were 		Verb 68 -22.27 10.29 200.72 0.78 37 2,228,849 24.39
2. have had
has
have
having 		Verb 25 -10.59 7.65 40.11 0.76 19 4,850,088 11.21
3. do did
Do
doing
done 		Verb 7 -9.71 3.39 21.09 0.63 7 9,041,385 6.01
4. would would Verb 8 -3.5 4.84 5.61 0.61 7 13,712,093 3.96
5. say said
say
saying
says 		Verb 9 -3.47 5.23 5.72 0.58 7 10,984,030 4.95
6. can can Verb 7 -3.42 4.42 5.21 0.53 5 18,596,844 2.92
7. should should Verb 5 -0.75 4.22 0.43 0.48 4 18,027,954 3.02
8. become became
become
becomes
becoming 		Verb 8 1.4 6.98 3.88 0.51 5 17,967,743 3.03
9. attend attend
attending 		Verb 5 1.99 7.83 36.01 0.34 3 28,901,054 1.88
10. refer refer
referred
referring 		Verb 7 2.33 8.68 45.53 0.38 4 22,722,083 2.39
11. appoint appointed Verb 7 2.47 9.54 92.56 0.26 3 32,168,661 1.69
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