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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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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. say said
says 		Verb 55 4.59 12.96 56.86 0.6 16 6,160,574 8.82
2. ask ask
asked 		Verb 14 2.72 9.49 27.28 0.51 6 15,675,057 3.47
3. 's 's Verb 10 2.35 8.6 21.36 0.58 7 10,915,768 4.98
4. look look
looked
looking 		Verb 9 0.6 6.66 0.45 0.61 7 16,086,336 3.38
5. come came
come
comes 		Verb 9 -0.19 6.25 0.03 0.64 8 12,012,422 4.53
6. get get
getting
got 		Verb 11 -0.93 6.56 0.69 0.33 4 15,280,290 3.56
7. think Think
thinking
thinks
thought 		Verb 7 -0.94 5.17 0.66 0.45 4 21,088,891 2.58
8. go go
goes
gone 		Verb 8 -2.46 5.1 3.29 0.54 6 19,342,851 2.81
9. know knew
know
knows 		Verb 5 -3.03 3.41 3.96 0.48 4 16,913,117 3.21
10. make makes
making 		Verb 5 -3.96 3.17 5.76 0.48 4 20,649,876 2.63
11. have 'd
've
had
has
have
having 		Verb 49 -5.02 10.45 16.36 0.69 20 4,773,308 11.39
12. will will Verb 5 -5.44 2.87 8.8 0.48 4 19,617,391 2.77
13. do Did
do
does
done 		Verb 8 -9.64 3.86 22.04 0.66 8 16,727,108 3.25
14. be 'm
's
are
be
been
is
was
were 		Verb 66 -25.3 10.05 233.09 0.8 34 2,581,207 21.06
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