Skip to main content

A python wrapper for the IceNLP java library

Project description

License: MIT Python 3.8 Release PyPI Build

IceNLPy

🐍 A Python wrapper for IceNLP

Ever wanted to use IceNLP with the ease of any other Python package? Now you can!

IceNLPy is a Python wrapper for the Java-based IceNLP toolkit for Icelandic. Although originally made for fun, the package is fully functional and can be used in real-world projects.

Usage

In Python:

>>> from icenlpy import icetagger, iceparser, tokenizer

>>> text = "Hann er mjög virtur málfræðingur að norðan. Hvað segirðu um það?"
>>> tokens = tokenizer.split_into_sentences(text)
>>> tokens

['Hann er mjög virtur málfræðingur að norðan .', 'Hvað segirðu um það ?']

>>> tagged = icetagger.tag_text(tokens)
>>> tagged

['Hann fpken er sfg3en mjög aa virtur lkensf málfræðingur nken að aa norðan aa . .\n', 
'Hvað fshen segirðu sfg2en um ao það fpheo ? ?\n']

>>> parsed = iceparser.parse_text(tagged)
>>> parsed

[[[NP Hann fpken ] [VPb er sfg3en ] [NP [AP [AdvP mjög aa ] virtur lkensf ] málfræðingur nken ]
[AdvP  aa norðan aa ] . .], [[NP Hvað fshen ] [VP segirðu sfg2en ] [PP um ao [NP það fpheo ] ] ? ?]]

>>> for sent in parsed:
...     print(f"Sentence text: {sent.text}\n")
...     print(sent.view)

Sentence text: Hann er mjög virtur málfræðingur  norðan .

S0
+-NP
  +-fpken: 'Hann'
+-VPb
  +-sfg3en: 'er'
+-NP
  +-AP
    +-AdvP
      +-aa: 'mjög'
    +-lkensf: 'virtur'
  +-nken: 'málfræðingur'
+-AdvP
  +-aa: 'að'
  +-aa: 'norðan'
+-.: '.'

Sentence text: Hvað segirðu um það ?

S0
+-NP
  +-fshen: 'Hvað'
+-VP
  +-sfg2en: 'segirðu'
+-PP
  +-ao: 'um'
  +-NP
    +-fpheo: 'það'
+-?: '?'

CLI:

The package also includes a basic command line tool to use the tools from the terminal. The tokenizer command is shown below:

Input:

$ icenlpy tokenizer --help

Output:

usage: icenlpy tokenizer [-h] [-i INPUT] [-o OUTPUT] [-of {1,2}] [-t] [input_text]

positional arguments:
  input_text            Direct text to process

optional arguments:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        Input file path
  -o OUTPUT, --output OUTPUT
                        Output file path
  -of {1,2}, --output-format {1,2}
                        The desired output format. 1 for one token per line, 2 for one sentence per line.
  -t, --tree-view       Print the output in a tree view format. Only applies to IceParser.


$ icenlpy tokenizer "Hann er mjög virtur málfræðingur að norðan." -of 1

Hann
er
mjög
virtur
málfræðingur
að
norðan
.

Features

The package is designed to be as simple as possible, and integrate well into established workflows in NLP projects which use purely Python-implemented packages, e.g. GreynirEngine for Icelandic or spaCy for other languages. Dependencies are kept to a minimum outside the Python standard library and the IceNLP Java library itself.

With this in mind the package is distributed with the original IceNLP JAVA clusters, and interacts with them using simple I/O calls via the subprocess module. This is simple and lightweight, but has not been tested for specifically for performance or scalability.

As of pre-release version 0.2.1, the package supports the following features:

  • Tokenization via the tokenizer module
  • Part-of-speech tagging via the icetagger module
  • Parsing via the iceparser module

Along with the built-in features of IceNLP, the package also includes a simple way to convert IceNLP output to a more human-readable format, and dedicated object types to better manipulate the output in external pipelines. As such, it emulates the functionality of more modern NLP toolkits, particularly GreynirEngine.

Future version of the package may include additional features, such as named entity recognition and lemmatization.

About

IceNLP, a groundbreaking NLP library for Icelandic was developed by Hrafn Loftsson from 2004 to 2007, with sporadic modifications and expansions in the mean time by students at the University of Reykjavík and the University of Iceland. The library is written in Java and sports a variety of NLP tools, including:

  • Tokenization
  • Part-of-speech tagging
  • Named entity recognition
  • Parsing
  • Lemmatization
  • Morphological analysis

Although today considered a legacy application and well outside the realm of state of the art technology, IceNLP is still maintained and has both practical and educational value. With this in mind, a simple way to implement the library in Python was developed, which is the basis for this Python package.

Prerequisites

This package runs on Python 3.8 or newer. Furthermore, as the package uses unmodified IceNLP source code, you will need to have Java installed on your system. For further information, see the IceNLP documentation.

Installation

pip install icenlpy

To edit the source code, clone the repository and install the package in editable mode:

git clone https://github.com/hinrikur/IceNLPy
cd IceNLPy
# [ Activate your virtualenv here if you have one ]
pip install -e .

Acknowledgements

IceNLP is developed and maintained by Hrafn Loftsson and the University of Reykjavík. The IceNLPy Python wrapper was developed by Hinrik Hafsteinsson.

Project details


Download files

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

Source Distribution

icenlpy-0.2.1.tar.gz (18.4 MB view details)

Uploaded Source

Built Distribution

icenlpy-0.2.1-py3-none-any.whl (18.5 MB view details)

Uploaded Python 3

File details

Details for the file icenlpy-0.2.1.tar.gz.

File metadata

  • Download URL: icenlpy-0.2.1.tar.gz
  • Upload date:
  • Size: 18.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.12.0 Darwin/23.3.0

File hashes

Hashes for icenlpy-0.2.1.tar.gz
Algorithm Hash digest
SHA256 ebdedfa6bc31ba5757204fe70b08df45988ee4c74b844cdcc9227bea12e01f01
MD5 50d910ad0312490c59549988473c20ec
BLAKE2b-256 dc9d550ec4510335ce1eaa0afa4057bb96f16da47b9eb66c19481d9e6449aee4

See more details on using hashes here.

File details

Details for the file icenlpy-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: icenlpy-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 18.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.12.0 Darwin/23.3.0

File hashes

Hashes for icenlpy-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d3c96c0ecdefa1bc600daa71be5b401d01c9c69b076747b6e4a415ab17f26a36
MD5 93352fb6507be3f08a3deba7b4f495f3
BLAKE2b-256 b28da913ca4e4602315409bae4de09d397181ed76d43aae2de52f7d9a4d077f8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page