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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:
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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. represent represent
represented
represents
Verb 9 2.64 9.42 59.12 0.68 9 9,152,334 5.94
2. mean mean
means
Verb 6 0.62 5.59 0.52 0.48 4 16,459,287 3.3
3. may may Verb 6 -0.74 4.79 0.42 0.6 6 12,757,734 4.26
4. give given
gives
giving
Verb 5 -1.64 3.85 1.57 0.48 4 16,903,362 3.22
5. make made
make
making
Verb 9 -1.84 5.65 2.13 0.64 8 11,814,158 4.6
6. could could Verb 6 -2.08 4.28 2.37 0.6 6 19,407,958 2.8
7. will will Verb 11 -2.1 6.21 2.77 0.68 10 11,678,678 4.65
8. can can Verb 8 -3.59 4.82 5.8 0.66 8 10,864,294 5
9. would would Verb 7 -5.01 4.08 8.88 0.63 7 22,030,570 2.47
10. be 's
are
be
been
being
is
was
were
Verb 160 -9.84 13.81 81.64 0.88 67 890,548 61.04
11. have had
has
have
Verb 14 -19.82 4.96 69.54 0.63 10 8,444,863 6.44
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