A part of RuMor project. It provides tools to organize a pipeline for complete morphological sentence parsing and named-entity recognition.
Scores on SynTagRus: accuracy 98.45%
for POS tagging; 98.74%
for lemmata
detection.
This project was making with a focus on Russian language, but it can also be used with some other languages (European, at least).
Morra supports Python 3.5 or later. To install it via pip, run:
$ pip install morra
If you currently have a previous version of Morra installed, use:
$ pip install morra -U
Alternatively, you can also install Morra from source of this git repository:
$ git clone https://github.com/fostroll/morra.git
$ cd morra
$ pip install -e .
This gives you access to examples that are not included to the PyPI package.
Input and output format for Morra is CoNLL-U when input or output is a file, or Parsed CoNLL-U if it is an object. Also, it allows Corpuscula's corpora wrappers as input.
You can find them in the directory examples
of our Morra github
repository.
Morra is released under the BSD License. See the LICENSE file for more details.