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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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MI3
CHISQ
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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
being
is
was
were
Verb 93 -37.58 10.79 431.98 0.79 38 2,514,895 21.61
2. have had
has
have
Verb 39 -16.35 8.72 82.36 0.8 26 3,652,491 14.88
3. say said
says
Verb 5 -13.47 1.83 26.51 0.56 5 19,982,303 2.72
4. would would Verb 6 -10.78 2.74 22.04 0.53 5 15,150,437 3.59
5. see saw
see
sees
Verb 7 -5.11 4.06 9.04 0.58 6 14,320,262 3.8
6. leave Left Verb 5 -0.76 4.22 0.43 0.34 3 19,784,646 2.75
7. lead lead
leads
led
Verb 7 1.28 6.57 3.18 0.58 6 14,776,920 3.68
8. join join
joined
joining
Verb 5 1.4 6.05 5.18 0.48 4 18,746,889 2.9
9. face face
facing
Verb 6 1.73 6.94 10.2 0.15 2 28,393,660 1.91
10. win win
won
Verb 9 2.14 8.14 15.92 0.52 5 28,759,867 1.89
11. defeat defeat
defeated
Verb 10 3.07 11.82 342.31 0.46 4 35,441,100 1.53
12. vote vote
voted
voting
Verb 16 3.86 12.85 430.83 0.61 8 11,617,680 4.68
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