Statistics for occurrence #1 of “Paris” in chapter 30 of Thomas Wentworth Higginson, Henry Wadsworth Longfellow:
...-36.
Outre-Mer, 55, 67, 71, 73, 119,121, 124, 193; comparison of, with Irving's Sketch Book, 69, 70; Mrs. Longfellow's letter about, 83.
Oxford, Eng., 223, 288.
Packard, Prof., Alpheus, 61.
Paris , 46-48, 63, 158, 161, 223.
Parker, Theodore, 285.
Parsons, Theophilus, 23, 27.
Parsons, Thomas W., 209, 214, 215.
Paul, Jean, 199, 289.
Payne, John, 131.
Peabody, Rev. O. W. B., 70.
Perciv...
|
Max. Freq. |
Min. Freq. |
|
|
Entity |
Corpus |
Doc |
Corpus |
Doc |
|
|
Paris (France) |
475 |
2 |
37 |
0 |
0 user votes |
|
Paris (Virginia, United States) |
187 |
0 |
5 |
0 |
0 user votes |
|
Paris (Arkansas, United States) |
16 |
0 |
0 |
0 |
0 user votes |
|
Paris (Canada) |
4 |
0 |
0 |
0 |
0 user votes |
|
Paris (Arkansas, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (California, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Idaho, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Indiana, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Iowa, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Iowa, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Maryland, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Michigan, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Mississippi, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (New Hampshire, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (North Carolina, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Ohio, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Ohio, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Oregon, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Oregon, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Pennsylvania, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (South Carolina, United States) |
0 |
0 |
0 |
0 |
0 user votes |
|
Paris (Wisconsin, 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.