- Enhanced noun query to include definite and indefinite forms
- Updated proper noun query with definite and vocative forms
- Expanded verb query to cover past simple, present continuous, future tense, and imperative forms
- Added comments and FILTER options for both Latin and Arabic script variants
- Improved overall query structure and readability

This commit integrates the autosuggestions functionality from process_wiki.py
into the get_data function in get.py. Key changes include:

1. Import gen_autosuggestions function from scribe_data.wikipedia.process_wiki
2. Add new conditional block to handle 'autosuggestions' data type
3. Implement autosuggestions generation logic for specified languages
4. Add placeholder load_text_corpus function for future implementation

The autosuggestions block now:
- Iterates through specified languages
- Loads text corpus (placeholder function to be implemented)
- Calls gen_autosuggestions with appropriate parameters
- Sets update_local_data=True to save results
- Uses interactive mode for verbose output

This update allows CLI users to generate autosuggestions directly via
the get command, streamlining the data generation process.

Note: The load_text_corpus function needs to be implemented to load
the actual text corpus for each language before this feature is fully functional.

TODO:
- Implement load_text_corpus function
- Ensure correct file paths and imports across the project
- Add error handling for corpus loading and autosuggestions generation
- Update documentation to reflect new autosuggestions functionality in CLI

…orms

- Add support for extracting present, future, past imperfect, perfect, and pluperfect forms
- Include grammatical features (mood, person, number) for each tense
- Implement OPTIONAL matching to handle incomplete conjugation data
- Add proper PREFIX declarations for all used namespaces
- Improve query organization and readability with comments
- Add ORDER BY clause and reasonable LIMIT for better results handling

Resolves scribe-org#444