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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. date date
dated
dating 		Verb 7 2.56 10.64 214.32 0.58 6 11,756,072 4.62
2. relate relate
related
relating 		Verb 8 2.53 9.26 61.35 0.66 8 11,716,506 4.64
3. construct construct
constructed
constructing 		Verb 6 2.34 9.61 118.96 0.6 6 11,847,036 4.59
4. produce produce
produced
producing 		Verb 6 1.67 6.83 8.89 0.6 6 19,713,737 2.76
5. create create
created 		Verb 5 1.63 6.52 9.76 0.56 5 13,414,288 4.05
6. find Find
found 		Verb 11 1.48 7.78 4.02 0.45 5 13,195,950 4.12
7. may may Verb 11 1.16 7.54 2.09 0.26 4 17,210,714 3.16
8. make made
make
makes
Making 		Verb 16 0.68 8.27 0.56 0.53 8 9,418,426 5.77
9. use used
Using 		Verb 8 0.11 6.06 0.01 0.39 3 24,309,295 2.24
10. can can Verb 13 -1 7.05 0.81 0.66 10 6,954,029 7.82
11. could could Verb 6 -1.7 4.41 1.72 0.48 4 22,336,386 2.43
12. will will Verb 8 -2.99 4.96 4.44 0.57 6 12,997,462 4.18
13. have 'd
had
has
have 		Verb 24 -11.58 7.42 44.45 0.66 13 9,048,657 6.01
14. be are
be
been
being
is
was
were 		Verb 121 -12.69 12.73 112.01 0.76 39 2,212,970 24.56
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