Hi OpenNLP-users, I have one question about the pretrained model for the German sentence detector.
The documentation says: "Usually Sentence Detection is done **before** the text is tokenized and that's the way the pre-trained models on the web site are trained" So how was the provided model for German exactly trained? The TIGER corpus IS tokenized - so was the TIGER corpus detokenized for training? Is there any documentation available so that I can reproduce the training steps for the pretrained model? Thanks + regards, Stefan
