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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do do
does 		Verb 5 -25.1 1.03 53.88 0.48 4 16,299,586 3.34
2. be are
be
been
being
is
was
were 		Verb 200 -19.14 14.05 233.17 0.63 38 2,728,231 19.92
3. have had
has
have
having 		Verb 47 -14.42 9.48 74.67 0.66 21 4,399,424 12.36
4. will will Verb 7 -8.59 3.53 17.76 0.45 4 17,742,113 3.06
5. can can Verb 9 -7.01 4.6 15.04 0.58 6 27,828,641 1.95
6. know know
known 		Verb 8 -4.39 4.65 7.67 0.57 6 11,091,353 4.9
7. could could Verb 7 -4.29 4.22 7.11 0.45 4 19,797,012 2.75
8. use use
used
using 		Verb 8 -2.07 5.21 2.51 0.61 7 15,015,407 3.62
9. call called Verb 5 -0.41 4.4 0.14 0.48 4 27,789,448 1.96
10. become became
become
becomes
becoming 		Verb 8 0.15 6.08 0.02 0.61 7 15,369,412 3.54
11. seem seem
seemed
seems 		Verb 8 0.41 6.22 0.2 0.57 6 12,704,996 4.28
12. include include
Includes 		Verb 6 0.81 5.75 0.99 0.53 5 11,113,505 4.89
13. suggest suggest
suggests 		Verb 6 1.13 6.07 2.4 0.6 6 11,019,755 4.93
14. form form
forms 		Verb 5 1.31 5.92 4.17 0.4 3 23,105,492 2.35
15. may may Verb 20 1.58 9.27 3.92 0.58 8 9,395,210 5.79
16. occur occur
occurred 		Verb 6 1.73 6.93 10.09 0.48 4 24,297,342 2.24
17. remain remain
remains 		Verb 8 1.78 7.43 8.49 0.61 7 10,760,903 5.05
18. discover discover
discovered
discovering 		Verb 6 1.97 7.52 19.78 0.53 5 15,495,022 3.51
19. living living Verb 5 2.19 10.19 223.81 0.4 3 28,503,957 1.91
20. date date
dated
dating 		Verb 7 2.5 9.79 112.69 0.63 7 19,302,962 2.82
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