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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. be are
be
being
is
was
were 		Verb 37 -12.06 8.84 73.04 0.43 9 9,237,269 5.88
2. have had
has
have 		Verb 15 -4.95 6.63 12.01 0.48 7 10,455,114 5.2
3. do did
do
does
doing 		Verb 6 -3.4 3.91 5.06 0.48 4 19,942,124 2.73
4. can can Verb 5 -0.91 4.15 0.6 0.48 4 23,414,684 2.32
5. would would Verb 7 -0.32 5.45 0.09 0.13 2 28,561,804 1.9
6. know know
knowing
knows 		Verb 5 0.09 4.71 0.01 0.56 5 25,479,351 2.13
7. may may Verb 6 1.21 6.16 2.94 0.53 5 14,553,164 3.74
8. give give
given
gives 		Verb 8 1.64 7.25 6.46 0.54 6 12,555,193 4.33
9. will will Verb 13 1.67 8.3 5.32 0.49 5 18,333,905 2.96
10. draw draw
draws 		Verb 5 1.98 7.77 34.33 0.17 2 28,563,983 1.9
11. expect expect
expected
expects 		Verb 6 2.14 8.16 36.61 0.29 3 23,445,527 2.32
12. recover recover
recovering 		Verb 5 2.18 9.86 175.82 -0.01 1 54,355,310 1
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