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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. nod nodded Verb 5 2.1 8.63 69.76 -0.01 1 54,335,565 1
2. turn turned Verb 5 1.08 5.59 2.26 -0.01 1 54,334,779 1
3. say said
say
says 		Verb 20 0.29 8.74 0.09 0.32 5 14,696,302 3.7
4. give gave
given
gives 		Verb 7 -0.15 5.54 0.02 0.53 5 14,067,017 3.86
5. come came
come
coming 		Verb 7 -0.58 5.33 0.28 0.38 4 19,249,837 2.82
6. think think
thinking
thinks
thought 		Verb 6 -1.01 4.67 0.74 0.53 5 14,600,449 3.72
7. see saw
see
seeing 		Verb 8 -1.04 5.55 0.8 0.44 4 21,257,806 2.56
8. take taking
took 		Verb 5 -2.35 3.61 2.73 0.34 3 19,213,209 2.83
9. make made
make
makes 		Verb 6 -2.6 4.12 3.34 0.6 6 12,774,051 4.26
10. would would Verb 7 -3.88 4.31 6.25 0.38 4 22,294,472 2.44
11. have had
has
have 		Verb 34 -7.06 9.03 25.15 0.72 19 9,066,415 6
12. do did
do 		Verb 5 -11.86 1.99 23.32 0.34 3 32,934,955 1.65
13. be 's
be
been
being
is
was
were 		Verb 63 -22.63 10.01 199.23 0.68 24 3,688,337 14.74
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