Morphological parser (POS, lemmata, NER etc.)
Project description
Morra: morphological parser (POS, lemmata, NER etc.)
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).
Installation
pip
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
From Source
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.
Usage
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.
Examples
You can find them in the directory examples of our Morra github
repository.
License
Morra is released under the BSD License. See the LICENSE file for more details.
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