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spelling_variant_normalizer

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拼写变体标准化工具。统一英美拼写差异(colour→color、analyse→analyze 等),内置 153 词条 (含屈折形式 covered/covering 等),支持自定义词典扩展。当用户提到英美拼写统一、拼写变体、 British/American spelling 等需求时使用此skill。

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Source SKILL.md: https://github.com/cas-bigdatalab/piflow/blob/HEAD/workspace/skills/spelling_variant_normalizer/SKILL.md

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spelling_variant_normalizer 拼写变体标准化Skill

功能概述

统一英美拼写差异,内置 153 词条覆盖 8 大类:(1) -our→-or;(2) -re→-er;(3) -ise→-ize;(4) -yse→-yze;(5) -ce→-se;(6) -ogue→-og;(7) 双写 L→单 L;(8) -ae/-oe→-e 及杂项。自动保持原文大小写。

触发条件

  • 英美拼写统一 / 拼写变体标准化
  • British to American / American to British
  • 多来源英语语料规整
  • 拼写一致性处理

支持的文件格式

  • CSV (.csv) / TSV (.tsv) / Excel (.xls, .xlsx) / SPSS (.sav)

使用方法

python scripts/spelling_variant_normalizer.py \
    --input_path <输入文件> \
    --output_path <输出文件> \
    [--text_columns col1,col2] \
    [--direction american_to_british] \
    [--custom_dict my_dict.json]

参数说明

参数必填说明
--input_path是输入文件路径
--output_path是输出文件路径
--text_columns否处理的文本列
--direction否british_to_american(默认)或反向
--custom_dict否JSON/CSV/TSV 自定义词典

输出示例

[OK] 拼写变体规范化完成 -> output.csv
   文本列: ['text']
   方向: british_to_american, 词条数: 153

colour centre analysed → color center analyzed

注意事项

  1. 使用 \b 单词边界匹配,不会误伤包含拼写变体的长单词
  2. 自动保持全大写(COLOUR→COLOR)和首字母大写
  3. 词典通过 JSON/CSV/TSV 扩展,前两列为 英→美 映射