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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 'S
are
be
been
being
is
was
were 		Verb 64 -28.11 9.83 262.18 0.38 11 7,729,104 7.03
2. have had
has
have 		Verb 31 -10.51 8.38 42.62 0.43 5 26,401,435 2.06
3. say said
says 		Verb 7 -5.77 3.94 10.75 0.23 2 53,765,312 1.01
4. take taking
took 		Verb 5 -3.22 3.36 4.31 0.4 3 41,767,339 1.3
5. will will Verb 10 -2.61 5.78 3.81 -0.01 1 53,898,116 1.01
6. could could Verb 7 -1.61 4.93 1.63 0.13 2 41,179,635 1.32
7. tell told Verb 5 -0.07 4.6 0 -0.01 1 53,639,202 1.01
8. hear heard Verb 7 1.74 7.16 8.91 0.13 2 29,770,076 1.83
9. open opened
opening
opens 		Verb 6 1.81 7.12 12.7 0.15 2 53,835,281 1.01
10. launch launched
launches 		Verb 5 2.03 8.09 45.09 0.28 2 50,606,622 1.07
11. benefit benefit
benefited 		Verb 5 2.1 8.65 70.82 0.17 2 30,861,582 1.76
12. link linked
linking
links 		Verb 7 2.45 9.4 82.81 0.23 2 50,753,706 1.07
13. appear appear
appeared 		Verb 57 7.27 16.42 1,434.62 0.01 2 53,287,455 1.02
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