Skip to main content

A python package for tokenizing and normalizing texts mainly written in the Igbo Language

Project description

What Is Igbo Text

Igbo Text is a library for tokenizing and normalizing texts mainly written in the Igbo Language.
It is an implementation of the tokenization and normalization algorithm written in the paper Analysis and Representation of Igbo Text Document for a Text-Based System by Ifeanyi-Reuben Nkechi J., Ugwu Chidiebere, Adegbola Tunde.

Installation

$ pip install igbo-text

Examples

Normalization

from igbo_text import IgboText

# Create IgboText class instance
igbo_text = IgboText()

# normalize text 
text = "Ọ nà-ezò nnukwu mmīri n'iro?"
normalized_text = igbo_text.normalize(text, convert_to_lower=True, remove_abbreviations=True)
print(normalized_text)

When the code above is executed, the output will be

ọ na ezo nnukwu mmiri n iro

Upper case characters can be left alone by setting convert_to_lower=False

Abbreviations can be left alone by setting remove_abbreviations=True

Tokenization

from igbo_text import IgboText

# Create IgboText class instance
igbo_text = IgboText()

# tokenize text
text = "Ndị Fàda kwènyèrè n'atọ̀ n'ime otù."
tokenized_text = igbo_text.tokenize(text)
print(tokenized_text)

When the code above isi executed, the output will be

["Ndị", "Fada", "kwenyere", "n'", "atọ", "n'", "ime", "otu", "."]

You can convert all upper case characters to lower case by setting convert_to_lower=True.

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

igbo-text-0.1.3.tar.gz (3.9 kB view hashes)

Uploaded Source

Built Distribution

igbo_text-0.1.3-py3-none-any.whl (5.5 kB view hashes)

Uploaded Python 3

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