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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:
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excelSpreadsheet
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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
being
is
was
were 		Verb 116 -21.57 12.13 232.14 0.84 53 1,590,497 34.18
2. do did
do
does 		Verb 5 -18 1.47 37.42 0.56 5 19,826,087 2.74
3. have had
has
have
having 		Verb 37 -11.66 8.87 51.97 0.76 22 5,433,623 10
4. can can Verb 8 -5.03 4.53 9.3 0.44 5 14,644,490 3.71
5. would would Verb 10 -4.68 5.33 9.04 0.64 8 10,417,075 5.22
6. will will Verb 9 -4.34 5.05 7.85 0.64 8 12,721,118 4.27
7. come came
come
comes 		Verb 6 -2.56 4.14 3.24 0.53 5 12,871,511 4.22
8. know know
knowing
known 		Verb 9 -2.04 5.59 2.51 0.68 9 10,753,848 5.05
9. become became
become 		Verb 7 0.53 5.94 0.35 0.63 7 11,135,857 4.88
10. drive driving Verb 6 1.96 7.48 19.04 0.15 2 27,107,443 2.01
11. kill killed
killing 		Verb 7 2.18 8.11 26.64 0.49 5 12,754,606 4.26
12. fight fight
fighting
fought 		Verb 14 3.51 11.65 202.23 0.71 12 7,095,230 7.66
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