| Name | LinguaLab JSON |
| Version |
3.5.8
JSON |
| download |
| home_page | None |
| Summary | A multilingual text and voice processing toolkit |
| upload_time | 2025-07-17 11:21:20 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License
Copyright (c) 2024 LinguaLab
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
| keywords |
language processing
translation
speech recognition
text processing
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# LinguaLab
[](https://www.python.org/downloads/)
[](LICENSE)
[](https://pypi.org/project/LinguaLab/)
**LinguaLab** is a comprehensive multilingual text and voice processing toolkit designed for language translation, speech recognition, and text processing tasks. The package provides robust tools for translating text between languages and transcribing audio/video files using advanced AI services.
## Features
- **Text Translation**:
- Multi-language text translation using Google Translate API
- Automatic language detection
- Fallback to alternative translation services
- Support for bulk translations and nested text structures
- Configurable translation providers and parameters
- **Speech Recognition**:
- Audio/video file transcription using IBM Watson Speech-to-Text
- Support for multiple audio formats (WAV, MP3, etc.)
- High-accuracy transcription with confidence scoring
- Batch processing capabilities
- Configurable transcription parameters
- **Language Processing**:
- Comprehensive language detection
- Pronunciation assistance
- Confidence scoring for translations
- Error handling and fallback mechanisms
- **Defensive Programming**:
- Automatic nested list flattening for text inputs
- Comprehensive parameter validation
- Enhanced error handling with detailed diagnostics
- Type safety with modern Python annotations
## Installation
### Prerequisites
Before installing, please ensure the following dependencies are available on your system:
- **External Tools** (required for full functionality):
- Microphone access (for speech recognition features)
- Internet connection (for translation services)
- **Required Third-Party Libraries**:
```bash
pip install numpy pandas SpeechRecognition googletrans gTTS
```
Or via Anaconda (recommended channel: `conda-forge`):
```bash
conda install -c conda-forge numpy pandas
pip install SpeechRecognition googletrans gTTS
```
- **Internal Package Dependencies**:
```bash
pip install filewise paramlib
pip install pygenutils # Core functionality
pip install pygenutils[arrow] # With arrow support (optional)
```
### For regular users (from PyPI)
```bash
pip install lingualab
```
### For contributors/developers (with latest Git versions)
```bash
# Install with development dependencies (includes latest Git versions)
pip install -e .[dev]
# Alternative: Use requirements-dev.txt for explicit Git dependencies
pip install -r requirements-dev.txt
pip install -e .
```
**Benefits of the new approach:**
- **Regular users**: Simple `pip install lingualab` with all dependencies included
- **Developers**: Access to latest Git versions for development and testing
- **PyPI compatibility**: All packages can be published without Git dependency issues
**If you encounter import errors:**
1. **For PyPI users**: The package should install all dependencies automatically. If you get import errors, try:
```bash
pip install --upgrade lingualab
```
2. **For developers**: Make sure you've installed the development dependencies:
```bash
pip install -e .[dev]
```
3. **Common issues**:
- **Missing dependencies**: For regular users, all dependencies are included. For developers, use `pip install -e .[dev]`
- **Python version**: Ensure you're using Python 3.10 or higher
- **Speech recognition**: Ensure microphone access is granted for speech features
### Verify Installation
To verify that your installation is working correctly:
```python
try:
import LinguaLab
from filewise.file_operations.path_utils import find_files
from pygenutils.arrays_and_lists.data_manipulation import flatten_list
from paramlib.global_parameters import COMMON_DELIMITER_LIST
print("✅ All imports successful!")
print(f"✅ LinguaLab version: {LinguaLab.__version__}")
print("✅ Installation is working correctly.")
except ImportError as e:
print(f"❌ Import error: {e}")
print("💡 For regular users: pip install lingualab")
print("💡 For developers: pip install -e .[dev]")
```
## Usage
### Text Translation Example
```python
from LinguaLab.text_translations import translate_string
# Translate a single phrase
result = translate_string(
phrase_or_words="Hello, how are you?",
lang_origin="en",
lang_translation="es"
)
print(result.text) # "Hola, ¿cómo estás?"
# Translate multiple phrases
phrases = ["Good morning", "Good afternoon", "Good evening"]
results = translate_string(
phrase_or_words=phrases,
lang_origin="en",
lang_translation="fr"
)
for result in results:
print(result.text)
# Handle nested lists automatically
nested_phrases = [
["Hello", "Goodbye"],
["Thank you", "Please"],
"Welcome"
]
results = translate_string(
phrase_or_words=nested_phrases,
lang_origin="en",
lang_translation="de"
)
```
### Language Detection Example
```python
from LinguaLab.text_translations import translate_string
# Detect language of text
detection = translate_string(
phrase_or_words="Bonjour, comment allez-vous?",
lang_origin="auto",
procedure="detect",
text_which_language_to_detect="Bonjour, comment allez-vous?"
)
print(f"Detected language: {detection.lang}")
print(f"Confidence: {detection.confidence}")
```
### Speech Recognition Example
```python
from LinguaLab.transcribe_video_files import save_transcription_in_file
# Note: Requires IBM Watson API credentials
# Set up your API_KEY and SERVICE_ID in the module
# The module automatically processes WAV files in the specified directory
# and can save transcriptions to text files
```
## Project Structure
The package is organised as a focused language processing toolkit:
```text
LinguaLab/
├── text_translations.py # Text translation and language detection
├── transcribe_video_files.py # Speech recognition and transcription
├── __init__.py # Package initialisation
└── README.md # Package documentation
```
## Key Functions
### `translate_string()`
**Purpose**: Translate text between languages using multiple translation services
**Key Features**:
- Supports single strings, lists, and nested lists of text
- Automatic fallback between translation services
- Language detection capabilities
- Configurable translation parameters
- Comprehensive error handling
**Parameters**:
- `phrase_or_words`: Text to translate (supports nested lists)
- `lang_origin`: Source language code
- `lang_translation`: Target language code (default: "en")
- `procedure`: "translate" or "detect"
- `provider`: Translation service provider
- `print_attributes`: Whether to print detailed results
### `save_transcription_in_file()`
**Purpose**: Save speech transcription results to text files
**Key Features**:
- Automatic file extension handling
- Progress reporting
- Error handling and validation
- Flexible output formatting
## Advanced Features
### Defensive Programming
- **Nested List Support**: Automatically flattens complex nested text structures
- **Parameter Validation**: Comprehensive input validation with detailed error messages
- **Type Safety**: Modern Python type annotations (PEP-604) for better IDE support
- **Error Handling**: Detailed error reporting for debugging
### Service Integration
- **Google Translate**: Primary translation service with automatic fallback
- **IBM Watson**: Speech-to-text transcription service
- **Alternative Services**: Support for multiple translation providers
- **Connection Management**: Robust handling of service availability
### Performance Optimisation
- **Batch Processing**: Efficient handling of multiple texts
- **Service Fallback**: Automatic switching between translation services
- **Resource Management**: Proper cleanup and memory management
## Supported Languages
### Translation Services
- **Google Translate**: 100+ languages supported
- **Microsoft Translator**: Enterprise-grade translation
- **MyMemory**: Free translation service
- **LibreTranslate**: Open-source translation
### Speech Recognition
- **IBM Watson**: 20+ languages supported
- **Multiple Audio Formats**: WAV, MP3, FLAC, etc.
- **Real-time Processing**: Stream-based transcription
## Version Information
Current version: **3.5.3**
### Recent Updates
- Enhanced defensive programming with nested list support
- Modern PEP-604 type annotations throughout
- Improved error handling and service fallback
- Comprehensive documentation and examples
## Error Handling
The package provides comprehensive error handling:
- **ValueError**: For invalid language codes or parameters
- **RuntimeError**: For service connection issues
- **AttributeError**: For service availability problems
- **SyntaxError**: For malformed input parameters
## System Requirements
- **Python**: 3.10 or higher
- **Internet Connection**: Required for translation and speech services
- **Memory**: Sufficient RAM for processing large text batches
- **Storage**: Space for transcription output files
## Dependencies
### Core Dependencies
- **SpeechRecognition**: Speech recognition capabilities
- **googletrans**: Google Translate integration
- **gTTS**: Google Text-to-Speech (if needed)
### Internal Dependencies
- **filewise**: File operations and path utilities
- **pygenutils**: Utility functions and data manipulation
- **paramlib**: Parameter and configuration management
## 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.
### Development Guidelines
- Follow existing code structure and language processing best practices
- Add comprehensive docstrings with parameter descriptions
- Include error handling for all service operations
- Test with various languages and text formats
- Update changelog for significant changes
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- **Google Translate Team** for the translation API
- **IBM Watson Team** for speech recognition services
- **Python NLP Community** for ecosystem development
- **Open Source Translation Providers** for free services
## Contact
For any questions or suggestions, please open an issue on GitHub or contact the maintainers.
## Troubleshooting
### Common Issues
1. **Translation Service Errors**:
- Check internet connection
- Verify language codes are valid
- Try alternative translation providers
2. **Speech Recognition Issues**:
- Ensure IBM Watson credentials are set
- Check audio file format compatibility
- Verify API service availability
3. **Import Errors**:
- Run `pip install -e .` for development setup
- Check Python version compatibility
- Verify all dependencies are installed
### Getting Help
- Check function docstrings for parameter details
- Review service provider documentation
- Open an issue on GitHub for bugs or feature requests
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"description": "# LinguaLab\n\n[](https://www.python.org/downloads/)\n[](LICENSE)\n[](https://pypi.org/project/LinguaLab/)\n\n**LinguaLab** is a comprehensive multilingual text and voice processing toolkit designed for language translation, speech recognition, and text processing tasks. The package provides robust tools for translating text between languages and transcribing audio/video files using advanced AI services.\n\n## Features\n\n- **Text Translation**:\n - Multi-language text translation using Google Translate API\n - Automatic language detection\n - Fallback to alternative translation services\n - Support for bulk translations and nested text structures\n - Configurable translation providers and parameters\n\n- **Speech Recognition**:\n - Audio/video file transcription using IBM Watson Speech-to-Text\n - Support for multiple audio formats (WAV, MP3, etc.)\n - High-accuracy transcription with confidence scoring\n - Batch processing capabilities\n - Configurable transcription parameters\n\n- **Language Processing**:\n - Comprehensive language detection\n - Pronunciation assistance\n - Confidence scoring for translations\n - Error handling and fallback mechanisms\n\n- **Defensive Programming**:\n - Automatic nested list flattening for text inputs\n - Comprehensive parameter validation\n - Enhanced error handling with detailed diagnostics\n - Type safety with modern Python annotations\n\n## Installation\n\n### Prerequisites\n\nBefore installing, please ensure the following dependencies are available on your system:\n\n- **External Tools** (required for full functionality):\n - Microphone access (for speech recognition features)\n - Internet connection (for translation services)\n\n- **Required Third-Party Libraries**:\n\n ```bash\n pip install numpy pandas SpeechRecognition googletrans gTTS\n ```\n\n Or via Anaconda (recommended channel: `conda-forge`):\n\n ```bash\n conda install -c conda-forge numpy pandas\n pip install SpeechRecognition googletrans gTTS\n ```\n\n- **Internal Package Dependencies**:\n\n ```bash\n pip install filewise paramlib\n pip install pygenutils # Core functionality\n pip install pygenutils[arrow] # With arrow support (optional)\n ```\n\n### For regular users (from PyPI)\n\n```bash\npip install lingualab\n```\n\n### For contributors/developers (with latest Git versions)\n\n```bash\n# Install with development dependencies (includes latest Git versions)\npip install -e .[dev]\n\n# Alternative: Use requirements-dev.txt for explicit Git dependencies\npip install -r requirements-dev.txt\npip install -e .\n```\n\n**Benefits of the new approach:**\n\n- **Regular users**: Simple `pip install lingualab` with all dependencies included\n- **Developers**: Access to latest Git versions for development and testing\n- **PyPI compatibility**: All packages can be published without Git dependency issues\n\n**If you encounter import errors:**\n\n1. **For PyPI users**: The package should install all dependencies automatically. If you get import errors, try:\n\n ```bash\n pip install --upgrade lingualab\n ```\n\n2. **For developers**: Make sure you've installed the development dependencies:\n\n ```bash\n pip install -e .[dev]\n ```\n\n3. **Common issues**:\n - **Missing dependencies**: For regular users, all dependencies are included. For developers, use `pip install -e .[dev]`\n - **Python version**: Ensure you're using Python 3.10 or higher\n - **Speech recognition**: Ensure microphone access is granted for speech features\n\n### Verify Installation\n\nTo verify that your installation is working correctly:\n\n```python\ntry:\n import LinguaLab\n from filewise.file_operations.path_utils import find_files\n from pygenutils.arrays_and_lists.data_manipulation import flatten_list\n from paramlib.global_parameters import COMMON_DELIMITER_LIST\n \n print(\"\u2705 All imports successful!\")\n print(f\"\u2705 LinguaLab version: {LinguaLab.__version__}\")\n print(\"\u2705 Installation is working correctly.\")\n \nexcept ImportError as e:\n print(f\"\u274c Import error: {e}\")\n print(\"\ud83d\udca1 For regular users: pip install lingualab\")\n print(\"\ud83d\udca1 For developers: pip install -e .[dev]\")\n```\n\n## Usage\n\n### Text Translation Example\n\n```python\nfrom LinguaLab.text_translations import translate_string\n\n# Translate a single phrase\nresult = translate_string(\n phrase_or_words=\"Hello, how are you?\",\n lang_origin=\"en\",\n lang_translation=\"es\"\n)\nprint(result.text) # \"Hola, \u00bfc\u00f3mo est\u00e1s?\"\n\n# Translate multiple phrases\nphrases = [\"Good morning\", \"Good afternoon\", \"Good evening\"]\nresults = translate_string(\n phrase_or_words=phrases,\n lang_origin=\"en\",\n lang_translation=\"fr\"\n)\nfor result in results:\n print(result.text)\n\n# Handle nested lists automatically\nnested_phrases = [\n [\"Hello\", \"Goodbye\"],\n [\"Thank you\", \"Please\"],\n \"Welcome\"\n]\nresults = translate_string(\n phrase_or_words=nested_phrases,\n lang_origin=\"en\",\n lang_translation=\"de\"\n)\n```\n\n### Language Detection Example\n\n```python\nfrom LinguaLab.text_translations import translate_string\n\n# Detect language of text\ndetection = translate_string(\n phrase_or_words=\"Bonjour, comment allez-vous?\",\n lang_origin=\"auto\",\n procedure=\"detect\",\n text_which_language_to_detect=\"Bonjour, comment allez-vous?\"\n)\nprint(f\"Detected language: {detection.lang}\")\nprint(f\"Confidence: {detection.confidence}\")\n```\n\n### Speech Recognition Example\n\n```python\nfrom LinguaLab.transcribe_video_files import save_transcription_in_file\n\n# Note: Requires IBM Watson API credentials\n# Set up your API_KEY and SERVICE_ID in the module\n\n# The module automatically processes WAV files in the specified directory\n# and can save transcriptions to text files\n```\n\n## Project Structure\n\nThe package is organised as a focused language processing toolkit:\n\n```text\nLinguaLab/\n\u251c\u2500\u2500 text_translations.py # Text translation and language detection\n\u251c\u2500\u2500 transcribe_video_files.py # Speech recognition and transcription\n\u251c\u2500\u2500 __init__.py # Package initialisation\n\u2514\u2500\u2500 README.md # Package documentation\n```\n\n## Key Functions\n\n### `translate_string()`\n\n**Purpose**: Translate text between languages using multiple translation services\n\n**Key Features**:\n\n- Supports single strings, lists, and nested lists of text\n- Automatic fallback between translation services\n- Language detection capabilities\n- Configurable translation parameters\n- Comprehensive error handling\n\n**Parameters**:\n\n- `phrase_or_words`: Text to translate (supports nested lists)\n- `lang_origin`: Source language code\n- `lang_translation`: Target language code (default: \"en\")\n- `procedure`: \"translate\" or \"detect\"\n- `provider`: Translation service provider\n- `print_attributes`: Whether to print detailed results\n\n### `save_transcription_in_file()`\n\n**Purpose**: Save speech transcription results to text files\n\n**Key Features**:\n\n- Automatic file extension handling\n- Progress reporting\n- Error handling and validation\n- Flexible output formatting\n\n## Advanced Features\n\n### Defensive Programming\n\n- **Nested List Support**: Automatically flattens complex nested text structures\n- **Parameter Validation**: Comprehensive input validation with detailed error messages\n- **Type Safety**: Modern Python type annotations (PEP-604) for better IDE support\n- **Error Handling**: Detailed error reporting for debugging\n\n### Service Integration\n\n- **Google Translate**: Primary translation service with automatic fallback\n- **IBM Watson**: Speech-to-text transcription service\n- **Alternative Services**: Support for multiple translation providers\n- **Connection Management**: Robust handling of service availability\n\n### Performance Optimisation\n\n- **Batch Processing**: Efficient handling of multiple texts\n- **Service Fallback**: Automatic switching between translation services\n- **Resource Management**: Proper cleanup and memory management\n\n## Supported Languages\n\n### Translation Services\n\n- **Google Translate**: 100+ languages supported\n- **Microsoft Translator**: Enterprise-grade translation\n- **MyMemory**: Free translation service\n- **LibreTranslate**: Open-source translation\n\n### Speech Recognition\n\n- **IBM Watson**: 20+ languages supported\n- **Multiple Audio Formats**: WAV, MP3, FLAC, etc.\n- **Real-time Processing**: Stream-based transcription\n\n## Version Information\n\nCurrent version: **3.5.3**\n\n### Recent Updates\n\n- Enhanced defensive programming with nested list support\n- Modern PEP-604 type annotations throughout\n- Improved error handling and service fallback\n- Comprehensive documentation and examples\n\n## Error Handling\n\nThe package provides comprehensive error handling:\n\n- **ValueError**: For invalid language codes or parameters\n- **RuntimeError**: For service connection issues\n- **AttributeError**: For service availability problems\n- **SyntaxError**: For malformed input parameters\n\n## System Requirements\n\n- **Python**: 3.10 or higher\n- **Internet Connection**: Required for translation and speech services\n- **Memory**: Sufficient RAM for processing large text batches\n- **Storage**: Space for transcription output files\n\n## Dependencies\n\n### Core Dependencies\n\n- **SpeechRecognition**: Speech recognition capabilities\n- **googletrans**: Google Translate integration\n- **gTTS**: Google Text-to-Speech (if needed)\n\n### Internal Dependencies\n\n- **filewise**: File operations and path utilities\n- **pygenutils**: Utility functions and data manipulation\n- **paramlib**: Parameter and configuration management\n\n## Contributing\n\nContributions 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.\n\n### Development Guidelines\n\n- Follow existing code structure and language processing best practices\n- Add comprehensive docstrings with parameter descriptions\n- Include error handling for all service operations\n- Test with various languages and text formats\n- Update changelog for significant changes\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- **Google Translate Team** for the translation API\n- **IBM Watson Team** for speech recognition services\n- **Python NLP Community** for ecosystem development\n- **Open Source Translation Providers** for free services\n\n## Contact\n\nFor any questions or suggestions, please open an issue on GitHub or contact the maintainers.\n\n## Troubleshooting\n\n### Common Issues\n\n1. **Translation Service Errors**:\n - Check internet connection\n - Verify language codes are valid\n - Try alternative translation providers\n\n2. **Speech Recognition Issues**:\n - Ensure IBM Watson credentials are set\n - Check audio file format compatibility\n - Verify API service availability\n\n3. **Import Errors**:\n - Run `pip install -e .` for development setup\n - Check Python version compatibility\n - Verify all dependencies are installed\n\n### Getting Help\n\n- Check function docstrings for parameter details\n- Review service provider documentation\n- Open an issue on GitHub for bugs or feature requests\n",
"bugtrack_url": null,
"license": "MIT License\n \n Copyright (c) 2024 LinguaLab\n \n Permission is hereby granted, free of charge, to any person obtaining a copy\n of this software and associated documentation files (the \"Software\"), to deal\n in the Software without restriction, including without limitation the rights\n to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n copies of the Software, and to permit persons to whom the Software is\n furnished to do so, subject to the following conditions:\n \n The above copyright notice and this permission notice shall be included in all\n copies or substantial portions of the Software.\n \n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n SOFTWARE. ",
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