Statistics for occurrence #1 of “Birmingham” in chapter 29 of Wendell Phillips, Theodore C. Pease, Speeches, Lectures and Letters of Wendell Phillips: Volume 2:
...nsdowne, Holland, and Macaulay, the Whig chiefs, cried out, Don't violate the law: you help the Tories!
Riots put back the bill.
But quiet, sober John Bull, law-abiding, could not do without it. Birmingham was three days in the hands of a mob; castles were burned; Wellington ordered the Scotch Greys to rough-grind their swords as at Waterloo.
This was the Whig aristocracy of England.
O'Connell had...
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Max. Freq. |
Min. Freq. |
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Entity |
Corpus |
Doc |
Corpus |
Doc |
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† |
Birmingham (United Kingdom) |
310 |
4 |
30 |
0 |
0 user votes |
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Birmingham (Alabama, United States) |
132 |
0 |
22 |
0 |
0 user votes |
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Birmingham (Mississippi, United States) |
46 |
0 |
4 |
0 |
0 user votes |
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Birmingham (Georgia, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Illinois, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Indiana, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Indiana, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Iowa, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Kansas, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Kentucky, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Michigan, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Missouri, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (New Jersey, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Ohio, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Ohio, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Ohio, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Ohio, United States) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Pennsylvania, United States) |
0 |
0 |
0 |
0 |
0 user votes |
† |
Birmingham (United Kingdom) |
0 |
0 |
0 |
0 |
0 user votes |
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Birmingham (Virginia, United States) |
0 |
0 |
0 |
0 |
0 user votes |
† This entity has been selected by the automated classifier as the most likely match in this context. It may or may not be the correct match.