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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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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 'm
're
's
are
be
been
being
is
was
were
Verb 109 -30.79 11.55 359.59 0.8 36 2,967,383 18.32
2. have had
has
have
Verb 34 -17.04 8.2 82.54 0.76 20 4,827,729 11.26
3. do did
do
Verb 11 -13.54 4.57 37.71 0.57 8 13,887,677 3.91
4. would would Verb 8 -8 4.06 17.13 0.61 7 25,459,145 2.14
5. see saw
see
seen
Verb 5 -6.43 2.69 10.84 0.48 4 17,467,613 3.11
6. will will Verb 9 -6.06 4.74 12.44 0.55 6 13,961,250 3.89
7. say said
say
says
Verb 15 -4.7 6.67 10.23 0.63 10 9,962,354 5.46
8. want want
wanted
Verb 8 -0.41 5.8 0.15 0.61 7 16,201,148 3.36
9. oppose oppose
opposed
opposing
Verb 5 2.09 8.54 64.72 0.56 5 21,088,799 2.58
10. win win
winning
wins
won
Verb 9 2.18 8.22 17.6 0.58 7 17,450,191 3.12
11. vote vote
voted
voting
Verb 22 4.58 14.31 881.14 0.6 10 10,296,273 5.28
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