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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 are
be
been
being
is
was
were 		Verb 73 -9.86 11.27 67.58 0.22 8 9,771,139 5.56
2. do did
does 		Verb 9 -3.81 5.16 6.68 0.1 2 44,259,629 1.23
3. have had
has
have
having 		Verb 32 -2.95 9.39 6.39 0.38 5 15,918,401 3.41
4. will will Verb 13 0.85 7.79 0.97 0.41 5 22,945,133 2.37
5. ask ask
asking
asks 		Verb 5 1.25 5.82 3.54 0.28 2 53,994,487 1.01
6. should should Verb 10 1.84 7.9 8.19 0.09 2 53,982,776 1.01
7. may may Verb 11 2.02 8.27 10.45 0.24 3 43,987,076 1.24
8. select select
selects 		Verb 5 2.14 9.2 108.26 -0.01 1 54,358,286 1
9. must must Verb 11 2.51 8.96 26.04 -0.01 1 54,279,591 1
10. cover covered
covers 		Verb 8 2.58 9.5 75.39 -0.01 1 54,280,043 1
11. indemnify indemnified
indemnify 		Verb 9 3 16.97 14,285.55 0.1 2 38,665,716 1.41
12. shall shall Verb 11 3.09 10.78 138.58 -0.01 1 54,275,733 1
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