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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. 's 's Verb 12 2.18 8.6 12.8 0.44 5 21,832,248 2.49
2. write write
wrote 		Verb 10 1.77 7.82 7.08 0.19 3 21,678,496 2.51
3. say said
say
saying
says 		Verb 48 1.71 11.58 3.99 0.72 21 4,808,852 11.3
4. lead leads
led 		Verb 6 0.93 5.86 1.4 0.43 4 31,692,804 1.72
5. play played
playing
plays 		Verb 5 0.41 4.94 0.21 0.48 4 37,610,223 1.45
6. think think
thinks
thought 		Verb 8 -2.97 4.97 4.35 0.42 4 17,556,830 3.1
7. see saw
see
seen 		Verb 8 -4.63 4.6 8.27 0.66 8 9,246,540 5.88
8. know know
known 		Verb 6 -5.85 3.41 10.25 0.6 6 17,142,779 3.17
9. will will
wo 		Verb 10 -6.2 5.08 13.27 0.56 6 15,575,403 3.49
10. make made
make
makes
making 		Verb 7 -6.39 3.84 12.17 0.58 6 11,566,289 4.7
11. get get
getting
got 		Verb 6 -7.47 3.15 14.03 0.48 4 29,916,694 1.82
12. would 'd
would 		Verb 6 -11.17 2.7 22.98 0.53 5 19,281,900 2.82
13. do did
do
does
doing
done 		Verb 9 -17.29 3.58 46.21 0.47 5 21,842,625 2.49
14. have had
has
have
having 		Verb 28 -22.15 7.24 105.48 0.79 22 4,147,984 13.11
15. be 's
are
be
been
is
was
were 		Verb 71 -47.19 9.58 505.47 0.79 34 3,097,674 17.55
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