Jul 13, 2025 · Jul 12, 2025 · Jul 12, 2025 · Jul 12, 2025 · Jul 12, 2025 · Jul 13, 2025
diff --git a/.scripts/README.md b/.scripts/README.md

 Useful scripts for the translation.

 ## Translation Dictionary

 The repository includes terminology dictionaries (`terminology_dictionary.csv` and `focused_terminology_dictionary.csv`) that provide standard translations for important Python terms to maintain consistency across documents. These dictionaries are maintained using LLM knowledge and can be referenced by translators.

 See `TERMINOLOGY_DICTIONARY.md` for detailed usage and integration with translation workflow.

 ## From Google Translation

 Translate all untranslated entries of the given .po file with Google Translate.


 ```sh
 .scripts/google_translate.sh library/csv.po
 ```
diff --git a/TERMINOLOGY_DICTIONARY.md b/TERMINOLOGY_DICTIONARY.md
 # Python Documentation Translation Dictionary

 This document describes the terminology dictionaries for maintaining translation consistency across the Python documentation project.

 ## Overview

 The translation dictionary project provides curated key terms and their translations to help translators maintain consistent terminology usage across different documents. The dictionaries are maintained using LLM knowledge to identify and categorize important Python terminology.

 ## Generated Files

 ### terminology_dictionary.csv
 The complete terminology dictionary containing important terms identified from Python documentation. Contains:
 - **source_term**: The original English term
 - **translated_term**: The corresponding Chinese (Traditional) translation
 - **frequency**: Number of occurrences across all files
 - **files_count**: Number of different files containing this term
 - **source_file**: Example file where this term was found
 - **directory**: Directory of the source file
 - **example_files**: List of up to 5 files containing this term

 Total entries: ~196 essential Python terms

 ### focused_terminology_dictionary.csv
 A curated subset of ~118 terms focusing on the most important Python terminology. Includes additional columns:
 - **priority**: High/Medium priority classification
 - **category**: Term classification

 #### Categories:
 - **Core Concepts** (7 terms): class, function, method, module, package, object, type
 - **Built-in Types** (9 terms): int, str, list, dict, tuple, set, float, bool, complex
 - **Keywords/Constants** (25 terms): None, True, False, return, import, def, async, await, and other Python keywords
 - **Exceptions** (29 terms): Common *Error and *Exception classes
 - **Code Elements** (14 terms): Magic methods like __init__, __str__, etc.
 - **Common Terms** (34 terms): Important technical concepts like decorator, generator, iterator

 ## Maintenance

 The terminology dictionaries are maintained using LLM knowledge to identify important Python terms and their translations. The dictionaries can be updated as needed to reflect new terminology or improved translations.

 ## Integration with Translation Workflow

 ### For New Translators
 1. Start with `focused_terminology_dictionary.csv`
 2. Learn standard translations for core Python concepts
 3. Reference high-frequency terms for consistency

 ### For Translation Review
 1. Check new translations against the dictionary
 2. Verify consistent terminology usage
 3. Update dictionary when establishing new standard translations

 ### For Project Management
 1. Track translation progress for key technical terms
 2. Identify terminology needing standardization
 3. Prioritize translation efforts using frequency data

 ### Output Format
 CSV files use UTF-8 encoding to properly handle Chinese characters. Compatible with Excel, Google Sheets, and other spreadsheet applications.

 ## Maintenance

 ### Adding New Terms
 New terms can be identified and added based on:
 - Frequency of appearance in documentation
 - Importance to Python concepts
 - Consistency needs across translation files

 ### Manual Curation Process
 The dictionaries are maintained through careful analysis of:
 - Core Python terminology in official documentation
 - Existing translation patterns in .po files
 - Category-based organization for translator efficiency

 ### Quality Assurance
 - Regular review of term translations for consistency
 - Cross-reference with official Python terminology
 - Validation against established translation conventions

 This documentation provides comprehensive guidance for maintaining and using the translation dictionary system to ensure consistent, high-quality Python documentation translation.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -2,11 +2,16 @@

		Useful scripts for the translation.

		## Translation Dictionary

		The repository includes terminology dictionaries (`terminology_dictionary.csv` and `focused_terminology_dictionary.csv`) that provide standard translations for important Python terms to maintain consistency across documents. These dictionaries are maintained using LLM knowledge and can be referenced by translators.

		See `TERMINOLOGY_DICTIONARY.md` for detailed usage and integration with translation workflow.

		## From Google Translation

		Translate all untranslated entries of the given .po file with Google Translate.


		```sh
		.scripts/google_translate.sh library/csv.po
		```
Expand Down
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,79 @@
		# Python Documentation Translation Dictionary

		This document describes the terminology dictionaries for maintaining translation consistency across the Python documentation project.

		## Overview

		The translation dictionary project provides curated key terms and their translations to help translators maintain consistent terminology usage across different documents. The dictionaries are maintained using LLM knowledge to identify and categorize important Python terminology.

		## Generated Files

		### terminology_dictionary.csv
		The complete terminology dictionary containing important terms identified from Python documentation. Contains:
		- source_term: The original English term
		- translated_term: The corresponding Chinese (Traditional) translation
		- frequency: Number of occurrences across all files
		- files_count: Number of different files containing this term
		- source_file: Example file where this term was found
		- directory: Directory of the source file
		- example_files: List of up to 5 files containing this term

		Total entries: ~196 essential Python terms

		### focused_terminology_dictionary.csv
		A curated subset of ~118 terms focusing on the most important Python terminology. Includes additional columns:
		- priority: High/Medium priority classification
		- category: Term classification

		#### Categories:
		- Core Concepts (7 terms): class, function, method, module, package, object, type
		- Built-in Types (9 terms): int, str, list, dict, tuple, set, float, bool, complex
		- Keywords/Constants (25 terms): None, True, False, return, import, def, async, await, and other Python keywords
		- Exceptions (29 terms): Common Error and Exception classes
		- Code Elements (14 terms): Magic methods like __init__, __str__, etc.
		- Common Terms (34 terms): Important technical concepts like decorator, generator, iterator

		## Maintenance

		The terminology dictionaries are maintained using LLM knowledge to identify important Python terms and their translations. The dictionaries can be updated as needed to reflect new terminology or improved translations.

		## Integration with Translation Workflow

		### For New Translators
		1. Start with `focused_terminology_dictionary.csv`
		2. Learn standard translations for core Python concepts
		3. Reference high-frequency terms for consistency

		### For Translation Review
		1. Check new translations against the dictionary
		2. Verify consistent terminology usage
		3. Update dictionary when establishing new standard translations

		### For Project Management
		1. Track translation progress for key technical terms
		2. Identify terminology needing standardization
		3. Prioritize translation efforts using frequency data

		### Output Format
		CSV files use UTF-8 encoding to properly handle Chinese characters. Compatible with Excel, Google Sheets, and other spreadsheet applications.

		## Maintenance

		### Adding New Terms
		New terms can be identified and added based on:
		- Frequency of appearance in documentation
		- Importance to Python concepts
		- Consistency needs across translation files

		### Manual Curation Process
		The dictionaries are maintained through careful analysis of:
		- Core Python terminology in official documentation
		- Existing translation patterns in .po files
		- Category-based organization for translator efficiency

		### Quality Assurance
		- Regular review of term translations for consistency
		- Cross-reference with official Python terminology
		- Validation against established translation conventions

		This documentation provides comprehensive guidance for maintaining and using the translation dictionary system to ensure consistent, high-quality Python documentation translation.