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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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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 94 -22.19 11.39 224.25 0.33 13 8,223,419 6.61
2. have has
have
having 		Verb 16 -19.94 5.42 74.08 0.4 6 13,244,284 4.1
3. see see
seeing
seen 		Verb 6 -3.23 3.96 4.58 0.43 4 22,410,491 2.43
4. can can Verb 14 -1.53 7.12 1.69 -0.01 1 54,315,191 1
5. may may Verb 9 0.17 6.42 0.03 0.1 2 30,709,360 1.77
6. call called Verb 5 0.5 5.01 0.32 0.17 2 28,096,505 1.93
7. use use
used
using 		Verb 12 0.83 7.57 0.93 0.39 4 16,845,338 3.23
8. must must Verb 8 0.97 6.6 1.43 -0.01 1 54,315,991 1
9. include include Verb 5 1.06 5.57 2.13 0.34 3 27,409,552 1.98
10. will will Verb 25 1.09 9.64 1.57 0.34 6 13,001,840 4.18
11. add add
added
adding
ADDS 		Verb 5 1.33 5.95 4.42 0.28 2 53,938,474 1.01
12. offer offer
offered
offers 		Verb 6 1.57 6.65 6.94 0.15 2 31,205,822 1.74
13. enable enable
enables
enabling 		Verb 5 1.9 7.37 23.96 0.4 3 26,931,875 2.02
14. develop develop
developed
developing 		Verb 9 2.42 8.7 30.16 0.43 4 21,330,115 2.55
15. create create
created
Creating 		Verb 9 2.46 8.82 33.89 0.29 3 18,292,403 2.97
16. support support
supported
supports 		Verb 9 2.53 9.03 41.5 0.36 3 27,164,392 2
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