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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
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
is
was
were 		Verb 55 -29.6 9.24 263 0.37 13 6,050,729 8.98
2. have had
has
have 		Verb 19 -15.16 6.33 57.2 0.2 5 23,943,735 2.27
3. do do
does 		Verb 7 -10.83 3.27 24.08 -0.01 1 54,311,995 1
4. take take
taken
takes
took 		Verb 6 -2.29 4.22 2.74 0.53 5 13,097,326 4.15
5. see see
seen
sees 		Verb 7 -2.03 4.79 2.36 0.13 2 35,366,538 1.54
6. can can Verb 11 -1.96 6.25 2.47 0.08 2 53,094,065 1.02
7. should should Verb 7 -0.11 5.56 0.01 0.26 3 29,754,230 1.83
8. need need
needs 		Verb 6 0.69 5.65 0.68 0.15 2 30,687,684 1.77
9. meet Meet Verb 5 1.32 5.93 4.24 -0.01 1 54,358,276 1
10. must must Verb 11 1.91 8.15 8.62 0.17 3 29,745,195 1.83
11. rock Rocked Verb 5 2.21 10.9 371.11 -0.01 1 54,358,096 1
12. result Result Verb 6 2.21 8.53 50.12 0.15 2 38,957,390 1.4
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