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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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CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. planning planning Verb 12 3.4 12.98 651.88 0.43 5 19,475,437 2.79
2. obstruct obstructing Verb 7 2.63 12.87 1,056.23 0.49 5 27,226,070 2
3. cross crossed
crossing 		Verb 6 2.14 8.17 36.64 0.6 6 11,289,701 4.81
4. lead lead
leading
leads
led 		Verb 10 2.01 8.1 11.06 0.61 8 16,466,787 3.3
5. link linking Verb 5 1.87 7.27 21.66 0.4 3 25,524,204 2.13
6. cut cut
cutting 		Verb 5 1.34 5.96 4.5 0.56 5 24,091,424 2.26
7. follow follow
followed
following
follows 		Verb 7 0.75 6.09 0.78 0.63 7 10,970,080 4.96
8. use use
used
uses
using 		Verb 12 -0.45 6.99 0.18 0.7 11 8,001,736 6.79
9. will will Verb 12 -4.93 5.89 10.23 0.64 9 11,194,000 4.86
10. know know
known
knows 		Verb 6 -5.7 3.44 9.91 0.6 6 18,424,282 2.95
11. could could Verb 5 -5.78 2.8 9.45 0.56 5 12,672,069 4.29
12. make made
make
makes
making 		Verb 7 -6.23 3.87 11.76 0.63 7 13,132,270 4.14
13. say said
say
says 		Verb 10 -8.06 4.82 18.78 0.7 10 8,067,885 6.74
14. can can Verb 7 -8.44 3.55 17.38 0.45 4 19,938,766 2.73
15. have 've
had
has
have
having 		Verb 40 -16.21 8.81 82.23 0.76 25 3,273,250 16.61
16. do did
do
does 		Verb 7 -19.94 2.52 48.68 0.49 5 13,984,244 3.89
17. be 's
are
be
been
being
is
was
were 		Verb 115 -32.17 11.69 387.65 0.84 55 1,486,562 36.57
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