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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. drive drive
drove 		Verb 5 1.54 6.33 7.63 0.48 4 15,534,273 3.5
2. reach reached
reaching 		Verb 6 1.45 6.46 5.16 0.43 4 30,120,563 1.8
3. bear born Verb 5 1.42 6.1 5.55 0.56 5 12,660,578 4.29
4. become became
become 		Verb 7 -0.08 5.57 0.01 0.53 5 15,165,683 3.58
5. go go
goes
going
gone
went 		Verb 16 -2.18 7.37 3.14 0.67 11 8,564,359 6.35
6. come came
come
comes
Coming 		Verb 7 -3.33 4.44 4.97 0.58 6 24,661,529 2.2
7. make made
making 		Verb 5 -8.01 2.45 14.25 0.56 5 16,483,634 3.3
8. will will Verb 7 -8.08 3.6 16.44 0.49 5 25,319,655 2.15
9. say said
say
saying
says 		Verb 7 -10.44 3.31 22.63 0.58 6 11,459,276 4.74
10. would 'd
would 		Verb 6 -10.6 2.76 21.59 0.6 6 11,413,455 4.76
11. have had
has
have 		Verb 50 -12.61 9.81 63.66 0.81 29 4,327,033 12.56
12. do did
do
doing 		Verb 6 -21.36 1.89 49.07 0.53 5 12,536,134 4.34
13. be 're
's
are
be
been
being
is
was
were 		Verb 91 -37.53 10.71 427.68 0.87 51 1,471,611 36.94
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