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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. ask asked
asking
Verb 7 1.19 6.48 2.59 0.35 3 37,902,344 1.43
2. 's 's Verb 5 1.07 5.58 2.21 0.48 4 19,246,133 2.82
3. tell tell
tells
told
Verb 5 0.05 4.68 0 0.48 4 29,689,903 1.83
4. say said
saying
says
Verb 20 -0.25 8.57 0.06 0.69 12 9,717,787 5.59
5. give gave
given
Verb 5 -1.5 3.91 1.35 0.34 3 23,376,181 2.33
6. come came
comes
Verb 5 -2.08 3.7 2.26 0.48 4 24,813,110 2.19
7. go go
Going
gone
went
Verb 8 -2.5 5.09 3.39 0.44 5 15,883,334 3.42
8. make made
makes
Verb 6 -3.26 3.95 4.63 0.6 6 11,801,480 4.61
9. will will
willed
Verb 8 -3.29 4.89 5.11 0.61 7 13,847,972 3.93
10. get get
got
Verb 6 -3.35 3.93 4.82 0.29 3 24,023,649 2.26
11. would would Verb 6 -5.51 3.47 9.56 0.15 2 30,566,220 1.78
12. have had
has
have
Verb 43 -6.38 9.87 23.02 0.45 17 5,768,549 9.42
13. be be
been
being
is
was
were
Verb 89 -19.6 11.33 186.96 0.4 24 4,214,079 12.9
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