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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
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. hunting hunting Verb 7 2.63 13.18 1,316.19 0.38 4 17,518,824 3.1
2. hunt hunt
hunted 		Verb 7 2.62 12.25 683.91 0.38 4 19,507,589 2.79
3. shoot shoot
shooting
shoots
shot 		Verb 7 2.47 9.53 92.08 0.63 7 11,450,367 4.75
4. kill kill
killed
killing 		Verb 8 2.45 8.89 44.41 0.61 7 14,435,801 3.77
5. cull cull
culled
culling 		Verb 5 2.23 13.2 1,868.45 0.56 5 14,474,236 3.76
6. stalk stalk
stalking 		Verb 5 2.22 11.99 803.43 0.48 4 20,328,824 2.67
7. drive drive
driven
drives 		Verb 6 2.02 7.69 23.45 0.53 5 27,293,731 1.99
8. see saw
see
seen
sees 		Verb 17 0.82 8.5 0.86 0.71 13 8,496,515 6.4
9. take take
taken
takes
taking
took 		Verb 12 -0.22 7.08 0.05 0.3 4 20,635,019 2.63
10. come came
come
comes 		Verb 5 -2.52 3.55 3.03 0.56 5 14,910,343 3.65
11. can can Verb 9 -3.42 5.24 5.59 0.68 9 13,392,685 4.06
12. would would Verb 8 -4.77 4.57 8.68 0.61 7 11,135,026 4.88
13. have 've
had
has
have 		Verb 38 -9.02 9.2 36.83 0.76 23 4,743,023 11.46
14. be 's
are
be
been
being
is
was
were 		Verb 102 -19.82 11.78 198.59 0.81 48 1,549,318 35.09
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