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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. explain explain
explained
explaining
Verb 9 2.67 9.54 65.77 0.64 8 9,904,491 5.49
2. arise arise
arises
arising
arose
Verb 7 2.46 9.43 84.87 0.63 7 11,700,842 4.65
3. notice notice
noticed
Verb 5 2.03 8.06 44 0.56 5 13,962,108 3.89
4. note noted
noting
Verb 5 1.95 7.59 29.2 0.56 5 14,489,090 3.75
5. may may Verb 10 1.29 7.4 2.82 0.61 8 12,907,049 4.21
6. might might Verb 6 1.18 6.12 2.7 0.53 5 19,031,776 2.86
7. can can Verb 12 -0.51 6.97 0.24 0.66 9 8,594,448 6.32
8. could could Verb 5 -1.53 3.89 1.41 0.48 4 17,731,905 3.07
9. see see
seeing
seen
Verb 5 -2.12 3.68 2.34 0.56 5 18,835,864 2.89
10. make made
makes
Verb 5 -2.69 3.5 3.35 0.56 5 11,980,247 4.54
11. be 're
's
are
be
been
is
was
were
Verb 154 -5 14.05 26.7 0.86 64 1,236,384 43.97
12. have had
has
have
Verb 13 -14.96 5.04 48.46 0.72 12 7,087,592 7.67
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