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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. miss missing Verb 20 4.36 14 782.49 -0.01 1 54,359,299 1
2. can can Verb 39 4.27 12.23 58.86 0.05 3 33,449,922 1.63
3. must must Verb 19 3.6 11.02 75.36 0.05 2 47,509,488 1.14
4. specify specified
specifies
Verb 13 3.55 13.5 863.42 -0.01 1 54,250,787 1
5. use use
used
uses
using
Verb 19 3.05 10.23 31.34 0.35 4 17,102,726 3.18
6. header-format-is HEADER-FORMAT-IS Verb 9 3 19.8 101,185.13 -0.01 1 54,189,565 1
7. relate related
relates
Verb 7 2.41 9.11 65.53 0.41 3 21,800,483 2.49
8. enter enter
entered
entering
Verb 7 2.4 9.03 61.53 0.41 3 36,089,957 1.51
9. return returned Verb 6 2.03 7.72 24.29 -0.01 1 54,359,030 1
10. include include Verb 7 2.02 7.7 17.4 -0.01 1 54,358,030 1
11. contain contain
containing
contains
Verb 5 1.86 7.22 20.62 0.4 3 36,093,815 1.51
12. see See Verb 16 1.82 8.88 6.19 0.06 2 34,887,931 1.56
13. allow allow
allowed
allows
Verb 5 1.53 6.31 7.43 0.48 4 18,799,128 2.89
14. may may Verb 9 1.23 7.1 2.59 -0.01 1 54,316,446 1
15. provide provide
provided
providing
Verb 5 1.18 5.72 2.95 0.34 3 33,459,876 1.62
16. find find
found
Verb 7 0.94 6.25 1.38 0.35 3 26,264,505 2.07
17. be 's
are
be
been
is
was
were
Verb 136 -4.93 13.67 25.56 0.27 16 5,008,803 10.85
18. have has
have
Verb 6 -22.02 1.85 54.11 0.25 2 47,427,789 1.15
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