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 - 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。