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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. end end
ended
ending
ends 		Verb 6 1.8 7.09 12.24 0.6 6 17,438,025 3.12
2. describe describe
described
describes 		Verb 7 1.61 6.97 6.65 0.63 7 13,634,251 3.99
3. base based Verb 5 1.23 5.8 3.38 0.48 4 21,247,935 2.56
4. might might Verb 5 -0.86 4.17 0.54 0.48 4 39,107,625 1.39
5. come came
come
comes
coming 		Verb 6 -4.47 3.67 7.16 0.53 5 14,869,407 3.66
6. take take
taken
took 		Verb 7 -5.04 4.08 8.87 0.58 6 14,749,487 3.69
7. will will
wo 		Verb 10 -6.45 5.04 13.99 0.54 7 10,918,405 4.98
8. make make
making 		Verb 5 -8.75 2.35 15.85 0.56 5 15,570,259 3.49
9. can can Verb 7 -8.96 3.48 18.69 0.58 6 16,768,131 3.24
10. have had
has
have 		Verb 68 -9.84 11.04 49.2 0.85 42 2,169,528 25.06
11. would would Verb 6 -11.53 2.66 23.87 0.6 6 18,766,019 2.9
12. be 's
are
be
been
being
is
was
were 		Verb 114 -34.4 11.59 419.9 0.88 57 1,356,630 40.07
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