semvec/pypi-packages huggingface dataset:
igbo-text 0.1.3
A python package for tokenizing and normalizing texts mainly written in the Igbo Language

## 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 <a href="https://www.researchgate.net/publication/318501476_Analysis_and_Representation_of_Igbo_Text_Document_for_a_Text-Based_System?enrichId=rgreq-8708d83d73199c40eb075b060e650734-XXX&enrichSource=Y292ZXJQYWdlOzMxODUwMTQ3NjtBUzo1MzkxNTM1MTczNDI3MjBAMTUwNTU1NTYyMzQ1MA%3D%3D&el=1_x_2&_esc=publicationCoverPdf">Analysis and Representation of Igbo Text Document for a Text-Based System</a> 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.
aaps 0.2
Paquete con todas las herramientas para la aplicacion AAPS-LAB.

# Herramientas AAPS-LAB 

Paquete con todas las herramientas para la aplicacion AAPS-LAB.

## Inicio

Estas instrucciones te proveerÃ¡n una copia del proyecto en funcionamiento en tu mÃ¡quina local para su uso.  

### Prerequisitos

Para instalar y usar este paquete es necesario una instalaciÃ³n de python.

Recomendamos usar el instalador a medida que estÃ¡ disponible a travÃ©s del sistema AAPS-API. Este instalador instalarÃ¡ python, conda, el paquete `aaps` y todas sus dependencias.

Este paquete hace uso de las librerÃ­as geo-espaciales [GEOS](https://trac.osgeo.org/geos/) (objetos y funciones espaciales), [GDAL](https://www.gdal.org/) (formatos espaciales) y [PROJ4](https://proj4.org/) (transformaciÃ³n de coordenadas), por lo que estas deben estar previamente instaladas para instalar este paquete desde la fuente.

Si se utiliza `conda`, las dependencias son instaladas de manera automÃ¡tica.

### InstalaciÃ³n

Si no se usa el instalador a medida, este paquete tambiÃ©n estÃ¡ disponible en PyPI y Anaconda Cloud. 

Para instalar usando el gestor de paquetes `conda` (recomendado), puedes usar el comando

```
conda install -c sergio.chumacero aaps
```

Para instalar usando el gestor de paquetes `pip`, puedes usar el comando

```
pip install aaps
```

Puedes verificar la instalaciÃ³n y la versiÃ³n usando el comando `conda list` (conda) y `pip freeze` (pip). 

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## Autores

* **Sergio Chumacero** - *trabajo inicial* - [GitHub](https://github.com/sergio-chumacero) - contacto: sergio.chumacero.fi@gmail.com

## License

Este proyecto se encuentra bajo la licencia MIT, que es del tipo "open source". VÃ©ase [LICENSE.md](LICENSE.md) para ver detalles.

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