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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
am
are
be
been
being
is
was
were 		Verb 107 -20.86 11.89 216.04 0.8 46 1,675,966 32.43
2. have had
has
have
having 		Verb 17 -20.13 5.62 76.8 0.73 14 7,138,774 7.61
3. do do
does 		Verb 5 -16.51 1.58 33.99 0.48 4 21,154,441 2.57
4. can can Verb 7 -5.14 4.06 9.16 0.35 3 22,086,322 2.46
5. will will Verb 8 -4.38 4.65 7.69 0.42 4 21,504,119 2.53
6. take take
taken
takes
taking
took 		Verb 5 -3.86 3.2 5.55 0.56 5 13,539,757 4.01
7. make made
make
makes 		Verb 7 -3.58 4.38 5.54 0.58 6 24,955,667 2.18
8. come came
come
comes
coming 		Verb 7 -1.65 4.92 1.7 0.63 7 17,704,232 3.07
9. use used
using 		Verb 7 -0.95 5.17 0.67 0.63 7 15,310,323 3.55
10. should should Verb 8 -0.2 5.9 0.04 0.42 4 20,277,946 2.68
11. run run
running
runs 		Verb 8 1.75 7.38 7.98 0.54 5 21,680,110 2.51
12. bake bake
baking 		Verb 5 2.21 11.21 465.13 0.56 5 14,850,521 3.66
13. processing processing Verb 5 2.22 12.03 827.64 0.56 5 17,482,127 3.11
14. produce produce
produced
produces
producing 		Verb 12 2.79 9.52 39.73 0.68 10 7,567,830 7.18
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