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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
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. run ran
run
running
Verb 44 6.15 14.69 519 0.74 22 7,178,243 7.57
2. win win
winning
won
Verb 12 2.91 9.81 52.85 0.68 10 8,581,799 6.33
3. raise raise
raised
raising
Verb 10 2.67 9.32 45.65 0.66 9 11,117,582 4.89
4. complete complete
completed
Verb 7 2.34 8.71 46.83 0.58 6 9,959,040 5.46
5. finish finished
finishes
finishing
Verb 7 2.3 8.54 40.02 0.58 6 12,342,055 4.4
6. start start
started
starting
Verb 5 0.76 5.24 0.87 0.56 5 16,219,999 3.35
7. will will Verb 20 -0.31 8.55 0.09 0.7 13 9,452,065 5.75
8. could could Verb 6 -2.94 4.03 3.98 0.53 5 17,842,603 3.05
9. take take
takes
took
Verb 6 -3.39 3.92 4.9 0.53 5 23,345,468 2.33
10. do do
does
done
Verb 7 -13.98 2.96 32.51 0.58 6 18,505,772 2.94
11. have had
has
have
Verb 27 -15 7.55 64.54 0.73 17 7,039,136 7.72
12. be 're
are
be
been
is
was
were
Verb 86 -27.25 10.87 282.43 0.76 38 2,527,576 21.51
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