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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
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. achieve achieve
achieved
achieving 		Verb 11 3.01 10.34 97.3 0.66 9 8,395,316 6.47
2. seek seek
seeking
sought 		Verb 10 2.84 9.94 79.36 0.7 10 8,736,232 6.22
3. promote promote Verb 8 2.69 10.32 144.76 0.34 4 24,942,340 2.18
4. effect effect Verb 5 2.2 10.59 297.59 0.56 5 23,820,624 2.28
5. attempt attempt
attempted
attempting 		Verb 5 2.02 7.99 41.22 0.56 5 15,502,644 3.51
6. bring bring
brings 		Verb 6 1.39 6.38 4.46 0.53 5 12,681,139 4.29
7. want wanted
wants 		Verb 5 -0.16 4.54 0.03 0.4 3 33,485,308 1.62
8. see see Verb 8 -1.18 5.5 1 0.47 4 20,735,537 2.62
9. make made
make
makes
making 		Verb 9 -1.29 5.83 1.18 0.68 9 9,297,087 5.85
10. take take
taken
took 		Verb 7 -1.38 5.01 1.27 0.63 7 14,670,253 3.71
11. come came
come
coming 		Verb 5 -1.73 3.82 1.71 0.48 4 23,767,652 2.29
12. can can Verb 8 -2.85 4.99 4.14 0.66 8 8,432,040 6.45
13. would would Verb 6 -4.87 3.59 8.13 0.53 5 21,022,872 2.59
14. have had
has
have 		Verb 14 -17.12 5.14 58.61 0.73 13 6,412,230 8.48
15. be 's
are
be
been
is
was
were 		Verb 79 -19.46 10.93 177.84 0.86 43 2,901,389 18.74
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