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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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TTEST
MI3
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
is
was
were 		Verb 57 -17.63 9.93 139.63 0.71 22 4,345,018 12.51
2. do did
do 		Verb 5 -8.81 2.34 16.42 0.56 5 13,637,108 3.99
3. have had
has
have
having 		Verb 27 -6.14 8.38 19.27 0.65 13 8,610,388 6.31
4. will will Verb 5 -3.14 3.38 4.18 0.34 3 28,167,945 1.93
5. make made
make
making 		Verb 10 0.09 6.69 0.01 0.7 10 9,958,393 5.46
6. become became Verb 5 0.87 5.35 1.24 0.4 3 20,444,825 2.66
7. use use
used
using 		Verb 11 1.63 7.89 5.25 0.61 8 16,310,285 3.33
8. complete completed Verb 5 2.03 8.09 45.01 0.56 5 15,918,175 3.41
9. fail failed Verb 6 2.15 8.2 37.93 0.53 5 15,656,909 3.47
10. drop dropped
dropping
drops 		Verb 7 2.47 9.5 89.72 0.58 6 25,290,251 2.15
11. open opened
opens 		Verb 9 2.66 9.47 62.15 0.64 8 10,938,980 4.97
12. jump jumping
jumps 		Verb 12 3.4 12.87 600.25 0.68 10 6,784,540 8.01
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