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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
being
is
was
were 		Verb 150 -16.17 13.24 168.77 0.67 41 2,338,839 23.24
2. have had
has
have 		Verb 41 -10.44 9.32 46.17 0.7 21 4,454,262 12.2
3. do did
do
does 		Verb 12 -9.59 5.26 25.49 0.49 6 11,729,673 4.63
4. would would Verb 7 -6.71 3.79 13.05 0.63 7 9,853,247 5.52
5. will will Verb 6 -6.53 3.3 11.87 0.43 4 22,988,252 2.36
6. say say
saying
says 		Verb 9 -5.95 4.76 12.17 0.38 4 19,583,012 2.78
7. make made
make
makes
making 		Verb 8 -3.45 4.85 5.45 0.47 4 18,752,239 2.9
8. take take
taken
takes
taking 		Verb 7 -2.91 4.54 4.09 0.45 4 19,548,813 2.78
9. get get
gets
getting
Got 		Verb 10 -2.54 5.79 3.65 0.64 8 16,241,332 3.35
10. could could Verb 7 -2.48 4.66 3.22 0.58 6 15,503,698 3.51
11. give gave
give
given 		Verb 6 -1.88 4.35 2.02 0.6 6 21,806,502 2.49
12. want want
wanting
wants 		Verb 5 -1.08 4.08 0.79 0.34 3 29,452,922 1.85
13. can ca
can 		Verb 25 0.56 9.46 0.36 0.66 12 9,807,150 5.54
14. become become
becomes
becoming 		Verb 9 1.13 7.02 2.08 0.64 8 13,647,664 3.98
15. bolster bolster
bolstering 		Verb 5 2.22 12 810 0.56 5 14,269,865 3.81
16. feed fed
feed
feeds 		Verb 8 2.65 10.02 113.9 0.66 8 16,016,201 3.39
17. boost boost
boosted
boosting 		Verb 10 3.12 12.73 661.17 0.66 9 8,389,783 6.48
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