Skip to main content
Warning: You are using the test version of PyPI. This is a pre-production deployment of Warehouse. Changes made here affect the production instance of TestPyPI (testpypi.python.org).
Help us improve Python packaging - Donate today!

A Python library for The Oslo-Bergen Tagger

Project Description

This is a Python library for The Oslo-Bergen Tagger, which parses the output of the tagger to a friendly format. Only Python 3 is supported at this time.

Installation

You need to have The Oslo-Bergen Tagger installed, and the environment variable OBT_PATH set to the path of its installation directory. You can use the provided code snippet below, or install it using the instructions in The-Oslo-Bergen-Tagger GitHub repository. The following code snippet installs it in your home directory. If you want to install it somewhere else, you can change the INSTALL_DIR variable on the first line to your preferred installation directory.

INSTALL_DIR=/home/$USER
THIS_DIR=$PWD
cd $INSTALL_DIR
git clone git@github.com:noklesta/The-Oslo-Bergen-Tagger.git
cd The-Oslo-Bergen-Tagger
./bootstrap.sh
export OBT_PATH=$INSTALL_DIR/The-Oslo-Bergen-Tagger
echo 'export OBT_PATH=$OBT_PATH' >> /home/$USER/.bashrc
cd $THIS_DIR

You can then install this Python library with pip. To install for all users, do:

sudo pip3 install obt

To just install for your user, do:

pip3 install --user obt

You are then good to go!

Usage

First, import the library

import obt

Then, you can tag a string by passing it to the tag_bm function:

my_string = "Jeg er streng."
tags = obt.tag_bm(my_string)

Or you can pass a file name using the file keyword argument:

tags = obt.tag_bm(file="my_document.txt")

The resulting tags will be an array of tag objects, like so:

[
  {
    "tall": "ent",
    "type": "pers hum",
    "base": "jeg",
    "person": "1",
    "word_tag": "<jeg>",
    "kasus": "nom",
    "raw_tags": "pron ent pers hum nom 1",
    "word": "Jeg",
    "ordklasse": "pron"
  },
  {
    "word_tag": "<er>",
    "base": "v\u00e6re",
    "tilleggstagger": [
      "a5",
      "pr1",
      "pr2",
      "<aux1/perf_part>"
    ],
    "tid": "pres",
    "raw_tags": "verb pres a5 pr1 pr2 <aux1/perf_part>",
    "word": "er",
    "ordklasse": "verb"
  },
  {
    "type": "appell",
    "best": "ub",
    "base": "streng",
    "word_tag": "<streng>",
    "tall": "ent",
    "ordklasse": "subst",
    "raw_tags": "subst appell mask ub ent",
    "word": "streng",
    "kj\u00f8nn": "mask"
  },
  {
    "word_tag": "<.>",
    "base": "$.",
    "tilleggstagger": [
      "<<<",
      "<punkt>",
      "<<<"
    ],
    "raw_tags": "clb <<< <punkt> <<<",
    "word": ".",
    "ordklasse": "clb"
  }
]

You can esaily save this to a JSON file with the obt.save_json function:

obt.save_json(tags, 'my_tags.json')

Format

TODO

Release History

Release History

This version
History Node

0.1.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
obt-0.1.0.tar.gz (4.1 kB) Copy SHA256 Checksum SHA256 Source Jun 1, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting