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Transcription
Paver. L. C.
Pekel. J: I
13 Vo
60.
Poot NN.
Petersen. I: E: de
61
76 Vo
Perbee: W: F: ..
Cas. C.I.. .
J9.
87 Vt
Prie M. ...
1o o
Poetsema. ƒ: . .
128 Vo
Vaarde koper.
129.
Poilker. F: H:
.151
Peters. . . .
183 V.
Peterssen.
190.
Potgieter. .
60.
61
76 2o
J9.
8 os 150
1024
128 Vo
120„
151.-
183 V.o
190.
Pekel. J: I
13 Vo
60.
Poot NN.
Petersen. I: E: de
61
76 Vo
Perbee: W: F: ..
Cas. C.I.. .
J9.
87 Vt
Prie M. ...
1o o
Poetsema. ƒ: . .
128 Vo
Vaarde koper.
129.
Poilker. F: H:
.151
Peters. . . .
183 V.
Peterssen.
190.
Potgieter. .
60.
61
76 2o
J9.
8 os 150
1024
128 Vo
120„
151.-
183 V.o
190.
Source citation
Amsterdam City Archives, archive number 5009, Archief van de Burgerlijke stand, inventory number 1092, Huwelijken en echtscheidingen, Akten, Registers van huwelijksakten en echtscheidingsakten, 1828, deel 2
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The transcription was made by computer via automatic handwriting recognition.
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Both artificial intelligence tasks are not perfect, but often more than sufficient so that the historical document becomes understandable.
The summary is created by the computer based on a language model.
Both artificial intelligence tasks are not perfect, but often more than sufficient so that the historical document becomes understandable.