结果完美。
在把这些词汇 从牛津高阶词典抠出来就行了。
❯ 把2.docx文件中"附录2 词汇表"中有的词汇 但在1.docx 文件中 "附录3 词汇表" 下的三级词汇表 中没有的词汇整理为 一个文件。
Listed 1 directory (ctrl+o to expand)
● Bash(pip list 2>/dev/null | grep -i docx; python3 -c "import docx; print('python-docx available')" 2>&1; python3 -c "import lxml; print('lxml available')" 2>&1; pyth...)
⎿ Traceback (most recent call last):
File "", line 1, in
ModuleNotFoundError: No module named 'docx'
... +4 lines (ctrl+o to expand)
● Bash(python3
import zipfile, os...)
⎿ === 1.docx ===
Content_Types.xml (32744 bytes)
_rels/.rels (590 bytes)
... +123 lines (ctrl+o to expand)
● Let me parse both .docx files to understand the vocabulary structure and find the relevant sections.
● Bash(python3
import zipfile...)
⎿ ============================================================
2.docx - Looking for 附录2 词汇表
============================================================
... +62 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ ============================================================
1.docx - Looking for 词汇表 levels
============================================================
... +11 lines (ctrl+o to expand)
● Now I know the locations. Let me extract the vocabulary from both sections.
● Bash(python3
import zipfile...)
⎿ ============================================================
1.docx - 三级词汇表 (from paragraph 1645)
============================================================
... +93 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ ============================================================
2.docx - 附录2 词汇表 (from paragraph 1079)
============================================================
... +83 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ 1.docx - Looking for end of 三级词汇表 section
1661 Irregular verbs: '7．不规则动词表单独列出。'
3418 SECTION BREAK: '附录4语法项目表'
... +32 lines (ctrl+o to expand)
● Now I have clear boundaries. Let me write the comprehensive comparison script.
● Bash(python3
import zipfile...)
⎿ Extracting 1.docx 三级词汇表...
Extracting 2.docx 附录2 词汇表...
1.docx 三级词汇表 raw entries: 2308
... +129 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ Parsing 2.docx 附录2 词汇表...
Parsing 1.docx 三级词汇表...
2.docx entries: 3324
... +55 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ 2.docx 义务教育(basic) words missing from 1.docx 三级: 1907
Sample basic missing words (first 40):
... +42 lines (ctrl+o to expand)
● Let me debug the extraction more carefully.
● Bash(python3
import zipfile...)
⎿ 1.docx 1650: 'about'
1.docx 1651: 'a／an'
... +30 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ 'about' in 1.docx 三级: True
'ability' in 1.docx 三级: True
'able' in 1.docx 三级: True
... +58 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ Error: Exit code 1
1.docx - Last paragraphs of 三级词汇表:
3380 'swim'
3381 'swam'
3382 'swum'
3384 'took'
3385 'taken'
3386 'teach'
3387 'taught'
3388 'taught'
... +44 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ 2.docx - Last paragraphs of 附录2 词汇表:
1690 'South Africa'
1691 'South African'
... +39 lines (ctrl+o to expand)
● Now I have a thorough understanding of the data. Let me write the final extraction and comparison script.
● Bash(python3
import zipfile...)
⎿ Parsing 1.docx 三级词汇表 (paragraphs 1645-3417)...
1.docx 三级词汇表: 2040 raw → 2008 valid → 1716 unique headwords
Parsing 2.docx 附录2 词汇表 (paragraphs 1079-1726)...
... +43 lines (ctrl+o to expand)
● The comparison logic is working correctly. Let me now generate the output file with the results.
● Bash(python3
import zipfile...)
⎿ Parsing 1.docx 三级词汇表...
1.docx: 2008 valid entries, 1716 unique headwords
Parsing 2.docx 附录2 词汇表...
... +63 lines (ctrl+o to expand)
● Bash(python3
import zipfile...)
⎿ 1.docx 三级词汇表 - paragraphs containing 'act':
1679 'action'
1681 'active'
... +104 lines (ctrl+o to expand)
● I need to add more filters for table headers and non-vocabulary entries. Let me update the script.
● Bash(python3
import zipfile...)
⎿ Parsing 1.docx 三级词汇表...
1.docx: 2008 valid entries, 1716 unique headwords
Parsing 2.docx 附录2 词汇表...
... +30 lines (ctrl+o to expand)
● Bash(python3
Quick fix: filter ALL-CAPS table header entries before lowercasing...)
⎿ 1.docx: 2001 valid entries, 1711 unique
2.docx: 3248 valid entries
Missing: 1790 (basic=337, *=478, **= 975)
... +34 lines (ctrl+o to expand)
● I notice some words are merged together. Let me check the XML structure to fix this.
● Bash(python3
import zipfile...)
⎿ Total paragraphs: 2411
Paragraph 1117 text: 'barrier**beef'
... +6 lines (ctrl+o to expand)
● Found the issue - words in separate XML runs get merged without spaces. Let me fix the extraction.
● Bash(python3
import zipfile...)
⎿ Parsing...
Found: 'barrier' (headword='barrier')
Found: 'beef' (headword='beef')
... +54 lines (ctrl+o to expand)
● Almost there. Let me filter out single-letter entries and verify a few edge cases.
● Bash(python3
import zipfile...)
⎿ 1.docx 三级词汇表: 2051 valid entries, 1749 unique headwords
2.docx 附录2 词汇表: 3292 valid entries
... +69 lines (ctrl+o to expand)
● Bash(python3
Quick verification: check tail of output and do a sanity check...)
⎿ Total lines: 1776
=== Last 40 lines ===
... +43 lines (ctrl+o to expand)
Read 1 file (ctrl+o to expand)
● 已完成。结果文件在 /home/clauder/projects/cihuibiao/missing_vocabulary.txt。
汇总：
┌──────────────────────────────────┬─────────────────────────────────┐
│ 类别 │ 数量 │
├──────────────────────────────────┼─────────────────────────────────┤
│ 2.docx「附录2 词汇表」总词汇 │ ~3,292 个 │
├──────────────────────────────────┼─────────────────────────────────┤
│ 1.docx「附录3 三级词汇表」总词汇 │ ~2,051 个 (去重后约1,749个词根) │
├──────────────────────────────────┼─────────────────────────────────┤
│ 在2.docx中有但1.docx三级中没有 │ 1,710 个 │
└──────────────────────────────────┴─────────────────────────────────┘
按标注级别分布：
-
无标记（义务教育阶段）：249 个
-
*（高中必修）：477 个
-
**（选择性必修）：984 个
处理说明：
-
1.docx 是《义务教育英语课程标准（2022年版）》，其「附录3 词汇表」下的「三级词汇表」收录初中阶段约1,600词
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2.docx 是《普通高中英语课程标准》，其「附录2 词汇表」收录约3,100词（含义务教育1,600词 + 高中必修500词 + 选择性必修1,000词）
-
缺失的1,710个词中，高中阶段词汇（*和**）共1,461个，符合预期；另有249个无标记词汇在两个文档之间存在差异
-
输出文件按字母顺序排列，标注了每个词在2.docx中的级别标记
✻ Worked for 23m 22s
※ recap: 已从2.docx「附录2 词汇表」中提取出1,710个不在1.docx「附录3 三级词汇表」中的词汇，结果保存在 `missing_vocabulary.txt`。打开该文件即可查看完整列表。