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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. write write
writing
written
wrote 		Verb 10 2.28 8.48 18.57 0.61 7 13,038,386 4.17
2. seem seem
seems 		Verb 6 0.68 5.64 0.65 0.6 6 16,164,361 3.36
3. might might Verb 5 0.32 4.87 0.12 0.56 5 11,899,305 4.57
4. may may Verb 6 -0.88 4.73 0.58 0.48 4 33,197,557 1.64
5. can can Verb 13 -1.65 6.86 1.91 0.66 10 11,221,995 4.84
6. know know
known
knows 		Verb 7 -2.23 4.73 2.73 0.63 7 11,246,854 4.83
7. think think
thinking 		Verb 5 -2.41 3.59 2.83 0.48 4 24,415,583 2.23
8. make made
make
makes 		Verb 6 -3.74 3.83 5.63 0.53 5 19,490,817 2.79
9. do did
do
does 		Verb 14 -6.57 6.15 16.38 0.68 11 10,751,993 5.06
10. have had
has
have 		Verb 34 -9.96 8.74 40.83 0.66 17 7,221,858 7.53
11. be am
are
be
being
is
was
were 		Verb 98 -20.12 11.63 199.94 0.8 39 1,984,888 27.39
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