)]}'
{
  "log": [
    {
      "commit": "b2666fc5a425f68797079e32c0e3cb6d25d056d7",
      "tree": "bb2764a228d392c2127d92fee69188d1e0e1a2bb",
      "parents": [
        "07d97146420a0909c9d2c21ab21c95069b3a98b1"
      ],
      "author": {
        "name": "Marc Kupietz",
        "email": "kupietz@ids-mannheim.de",
        "time": "Mon Sep 07 18:03:46 2020 +0200"
      },
      "committer": {
        "name": "Akron",
        "email": "nils@diewald-online.de",
        "time": "Tue Sep 08 17:25:08 2020 +0200"
      },
      "message": "Implement sentence splitter\n\nChange-Id: I80969a8ac68193dd2a3dd82c1f606807193c39c8\n"
    },
    {
      "commit": "81925096b645bf17cf688d1311bce002b5a9418f",
      "tree": "72e8930b1290ff3567cd9987d7e425d9b5e4c580",
      "parents": [
        "478632eb7e133969531f3b401576564783183707"
      ],
      "author": {
        "name": "Marc Kupietz",
        "email": "kupietz@ids-mannheim.de",
        "time": "Mon Sep 07 15:16:51 2020 +0200"
      },
      "committer": {
        "name": "Marc K",
        "email": "morckx@gmail.com",
        "time": "Mon Sep 07 15:25:28 2020 +0200"
      },
      "message": "Use original Span class and implement Tokenizer interface from OpenNLP\n\nUsing maven assembly plugin to include the required classes into a jar\nfor binary distribution.\n\nThis makes it possible to use KorAPTokenizerImpl as tokenizer in OpenNLP\napplications.\n\nChange-Id: I627dcdd046334db1b1ae9dd60cf7104fd3a3c518\n"
    }
  ]
}