LinguaLab 3.4.3

A multilingual text and voice processing toolkit

LinguaLab

LinguaLab is a Python toolkit designed for natural language processing and linguistic analysis. It provides a comprehensive set of tools for text processing, language analysis, and linguistic research, making it easier to work with text data in Python applications.

Features

• Text Processing:
  • Text cleaning and normalization
  • Tokenization and lemmatization
  • Stop word removal and filtering
• Language Analysis:
  • Syntax analysis
  • Morphological analysis
  • Semantic analysis
• Corpus Management:
  • Corpus creation and management
  • Text collection and organization
  • Metadata handling
• Statistical Analysis:
  • Frequency analysis
  • Word distribution analysis
  • Text similarity measures

Installation

Prerequisites

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

• Required Third-Party Libraries:

  pip install nltk spacy pandas numpy scikit-learn
  

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

  conda install -c conda-forge nltk spacy pandas numpy scikit-learn
  

Installation (from PyPI)

Install the package using pip:

pip install lingualab

Development Installation

For development purposes, you can install the package in editable mode:

git clone https://github.com/yourusername/lingualab.git
cd lingualab
pip install -e .

Usage

Basic Example

from lingualab.processing import TextProcessor
from lingualab.analysis import LanguageAnalyzer

# Process text
processor = TextProcessor("This is a sample text.")
processed_text = processor.clean().tokenize().lemmatize()

# Analyze language
analyzer = LanguageAnalyzer(processed_text)
syntax_tree = analyzer.parse_syntax()

Advanced Example

from lingualab.corpus import CorpusManager
from lingualab.statistics import TextAnalyzer

# Manage corpus
corpus = CorpusManager("my_corpus")
corpus.add_document("doc1.txt", metadata={"author": "John Doe"})

# Analyze text statistics
analyzer = TextAnalyzer(corpus)
word_freq = analyzer.word_frequency()
similarity = analyzer.text_similarity("doc1.txt", "doc2.txt")

Project Structure

The package is organised into several sub-packages:

LinguaLab/
├── processing/
│   ├── text_processor.py
│   └── tokenizer.py
├── analysis/
│   ├── syntax_analyzer.py
│   └── semantic_analyzer.py
├── corpus/
│   ├── manager.py
│   └── collector.py
└── statistics/
    ├── frequency_analyzer.py
    └── similarity_analyzer.py

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Natural Language Processing community
• Open-source contributors
• Linguistic research community

Contact

For any questions or suggestions, please open an issue on GitHub or contact the maintainers.