LinguaLab 3.4.2

A multilingual text and voice processing toolkit

LinguaLab

LinguaLab is a specialised Python package designed for language processing tasks, including text translation and video transcription. It provides tools for handling multilingual content and audio-to-text conversion, with support for various services and APIs.

Features

• Text Translation:
  • Multi-language text translation
  • Language detection
  • Customisable translation providers
  • Proxy and timeout configuration
• Video Transcription:
  • Audio-to-text conversion
  • Support for IBM Watson services
  • File-based transcription output
  • Customisable output formats

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Installation Guide

Dependency Notice

Before installing, please ensure the following dependencies are available on your system:

• Required Third-Party Libraries:

  • googletrans
  • ibm-watson
  • ibm-cloud-sdk-core
  • filewise
  • pygenutils

  You can install them via pip:

  pip install googletrans ibm-watson ibm-cloud-sdk-core filewise pygenutils
  

  Or via Anaconda (recommended channel: conda-forge):

  conda install -c conda-forge googletrans ibm-watson ibm-cloud-sdk-core filewise pygenutils
  

Installation Instructions

Install the package using pip:

pip install lingualab

Package Updates

To stay up-to-date with the latest version of this package, simply run:

pip install --upgrade lingualab

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Project Structure

The package is organised into the following components:

• text_translations.py: Text translation utilities

  • Multi-language translation
  • Language detection
  • Provider configuration
  • Customisable parameters

• transcribe_video_files.py: Video transcription tools

  • Audio-to-text conversion
  • IBM Watson integration
  • File output handling

For detailed version history and changes, please refer to:

• CHANGELOG.md: Comprehensive list of changes for each version
• VERSIONING.md: Versioning policy and guidelines

Usage Examples

Text Translation

from lingualab import text_translations

# Translate text from Spanish to English
translated_text = text_translations.translate_string(
    phrase_or_words="Hola mundo",
    lang_origin="es",
    lang_translation="en"
)

# Detect language of a text
detected_lang = text_translations.translate_string(
    phrase_or_words="Bonjour le monde",
    procedure="detect"
)

Video Transcription

from lingualab import transcribe_video_files

# Transcribe a video file using IBM Watson
transcription = transcribe_video_files.transcribe_video(
    video_file="input.mp4",
    api_key="your_api_key",
    service_url="your_service_url"
)

# Save transcription to file
transcribe_video_files.save_transcription_in_file(
    transcript=transcription,
    relative_path_noext="output_transcription"
)