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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. be 's
are
be
been
being
is
was
were
Verb 123 -29.49 12.01 356.03 0.85 51 1,907,569 28.5
2. have had
has
have
Verb 49 -12.92 9.72 65.4 0.76 27 4,213,558 12.9
3. would would Verb 5 -12.09 1.96 23.36 0.56 5 21,932,595 2.48
4. make made
make
making
Verb 6 -6.92 3.23 12.75 0.6 6 13,469,321 4.04
5. can can Verb 14 -3.93 6.58 7.7 0.75 14 5,927,684 9.17
6. may may Verb 6 -2.59 4.13 3.3 0.43 4 48,374,856 1.12
7. use use
used
using
Verb 8 -1.86 5.27 2.11 0.61 7 16,847,326 3.23
8. increase increased
increases
increasing
Verb 6 1.6 6.69 7.36 0.43 4 17,844,055 3.05
9. cover covered Verb 7 1.88 7.41 12.27 -0.01 1 54,333,706 1
10. range range
ranging
Verb 5 2.07 8.42 58.78 0.48 4 36,614,678 1.48
11. measure measure
measured
measures
measuring
Verb 9 2.77 10.07 102.4 0.64 8 13,514,585 4.02
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