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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
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. provide provide
provided
provides
providing 		Verb 21 3.36 10.7 42.76 0.79 20 4,533,688 11.99
2. become became
become
becomes
becoming 		Verb 22 3.12 10.5 29.38 0.77 18 5,516,811 9.85
3. accept Accept
accepted 		Verb 10 2.47 8.83 27.73 0.7 10 13,451,276 4.04
4. develop develop
developed
developing
develops 		Verb 7 1.67 7.05 7.58 0.49 5 27,987,492 1.94
5. find find
finding
found 		Verb 15 1.12 8.31 1.79 0.74 14 5,820,163 9.34
6. produce produce
produced 		Verb 5 0.75 5.23 0.85 0.56 5 17,024,079 3.19
7. ask asked
asks 		Verb 6 -0.17 5.07 0.03 0.15 2 33,973,038 1.6
8. use use
used
using 		Verb 12 -0.42 7 0.16 0.68 10 7,463,982 7.28
9. look look
looked
looking 		Verb 5 -3.18 3.37 4.21 0.34 3 21,480,044 2.53
10. give gave
give
given
gives 		Verb 6 -3.23 3.96 4.55 0.53 5 19,109,096 2.84
11. make made
make
makes 		Verb 9 -4.77 4.97 8.93 0.68 9 8,143,118 6.68
12. know knew
knowing
known 		Verb 5 -6.63 2.66 11.24 0.56 5 24,917,761 2.18
13. can can Verb 8 -7.47 4.14 15.66 0.61 7 11,086,062 4.9
14. would would Verb 8 -8.66 3.98 18.92 0.54 6 15,219,182 3.57
15. be 'm
's
are
be
been
being
is
was
were 		Verb 300 -9.05 15.85 80.54 0.92 85 522,770 103.98
16. will will Verb 6 -9.33 2.9 18.49 0.6 6 14,251,909 3.81
17. say said
says 		Verb 5 -13.51 1.83 26.61 0.17 2 34,497,354 1.58
18. have 've
had
has
have
having 		Verb 37 -17.18 8.48 86.04 0.71 23 5,666,910 9.59
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