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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 'm
's
are
be
been
being
is
was
were 		Verb 75 -30.07 10.3 302.82 0.8 41 2,187,430 24.85
2. do did
Do
does
done 		Verb 6 -15.33 2.31 33.85 0.6 6 12,992,224 4.18
3. have 've
had
has
have
having 		Verb 57 -6.21 10.8 23.61 0.83 35 2,376,612 22.87
4. make made
make
making 		Verb 5 -5.42 2.87 8.72 0.56 5 18,801,602 2.89
5. say said
saying
says 		Verb 13 -3.57 6.41 6.57 0.49 7 11,219,212 4.85
6. get get
got 		Verb 8 -3.32 4.88 5.16 0.51 5 27,482,517 1.98
7. could could Verb 6 -2.89 4.05 3.88 0.6 6 20,031,644 2.71
8. look look
looked
looking 		Verb 10 0.35 6.81 0.14 0.7 10 9,816,166 5.54
9. trim trimmed Verb 7 2.62 12.27 694.07 0.63 7 16,346,158 3.33
10. wear wear
wearing
wears
wore 		Verb 9 2.66 9.49 62.95 0.64 8 22,982,248 2.37
11. stroke stroke
stroked
stroking 		Verb 18 4.22 15.88 3,314.3 0.63 10 9,730,494 5.59
12. grow grew
grow
growing
grown 		Verb 32 5.39 14.43 627.59 0.83 29 3,164,861 17.18
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