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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. appoint appoint
appointed
appointing 		Verb 11 3.09 10.8 141.18 0.55 7 8,420,181 6.46
2. ensure ensure
ensuring 		Verb 5 1.62 6.49 9.42 0.56 5 21,249,075 2.56
3. become became
become
becoming 		Verb 8 0.52 6.29 0.33 0.54 6 18,501,717 2.94
4. provide provide
provides
providing 		Verb 5 0.02 4.66 0 0.48 4 18,863,264 2.88
5. tell tell
telling
tells
told 		Verb 6 -0.51 4.9 0.21 0.53 5 39,132,661 1.39
6. use use
used
uses
using 		Verb 7 -1.87 4.84 2.08 0.63 7 12,614,782 4.31
7. will will Verb 16 -2.41 7.32 3.7 0.69 12 10,476,109 5.19
8. should should Verb 5 -2.59 3.54 3.13 0.56 5 11,417,375 4.76
9. can ca
can 		Verb 14 -3.18 6.73 5.58 0.69 11 13,962,691 3.89
10. take take
taken
takes
took 		Verb 7 -3.84 4.32 6.09 0.63 7 12,893,722 4.22
11. make made
make
making 		Verb 9 -3.9 5.14 6.73 0.68 9 9,221,307 5.89
12. see saw
see
seen 		Verb 6 -5.01 3.56 8.38 0.6 6 17,004,893 3.2
13. would would Verb 9 -6.63 4.66 14.02 0.64 8 21,729,322 2.5
14. say said
says 		Verb 8 -8.24 4.03 17.8 0.66 8 8,686,233 6.26
15. have had
has
have 		Verb 37 -14.59 8.65 69.83 0.73 19 3,708,076 14.66
16. be 're
's
am
are
be
been
being
is
was
were 		Verb 100 -30.58 11.27 345.27 0.84 49 1,746,266 31.13
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