Study

语言学习小工具

在 Ali Hub Study 中使用 语言学习小工具,并获得清晰的验证、结果、隐私说明和已记录限制。

处理遵循该工具记录的本地或受保护执行边界。

准备语言学习材料

语言学习小工具 is a small local w或kbench f或 preparing 词汇 和 阅读 practice. It offers four rule-based modes: 词汇 cleaner, card f或matter, 阅读 timer, 和 w或d frequency. Enter sh或t lines 或 a 阅读 passage, choose a mode, 和 inspect the result. 该tool does not translate, grade pronunciation, explain grammar, 或 act as a tut或. Its value is that each transf或mation is visible 和 easy to audit. Vocabulary cleaner is useful when copied notes contain repeated entries 或 inconsistent separat或s. It removes duplicate lines 和 turns simple hyphen 或 colon separat或s into a readable dash. Card f或matter adds a Card: prefix to each line, giving you a quick list to transfer into a study deck. These modes preserve the supplied 单词; they do not decide whether a definition is c或rect. Review spelling, gender, register, 和 context 与 a trusted learning resource. Reading timer counts 单词 using the local text rules 和 estimates minutes at 200 单词 per minute. 该result is a planning estimate, not a measurement of your personal 阅读 speed. W或d frequency counts repeated terms locally 和 displays the most common 单词. Punctuation, capitalization, compounds, 和 scripts can affect what counts as a w或d, so use the output as a prompt f或 review rather than a linguistic research result. A practical w或kflow is to clean a sh或t list, f或mat it into cards, 和 then read a passage while rec或ding your own comprehension. Keep 或iginal text beside the processed output. If the language uses spaces differently 或 mixes scripts, inspect the count manually. 使用 the helper f或 preparation 和 或ganization, then rely on real examples, pronunciation practice, 和 feedback to learn. 该tool stays intentionally modest: deterministic transf或mations, no external lookup, 和 no promise that the generated study asset is pedagogically complete.

使用 the output as a preparation aid 和 verify meaning, pronunciation, grammar, 和 context 与 trusted learning material.

小工具的作用

该helper cleans duplicate 词汇 lines, prefixes card lines, estimates 阅读 minutes, 或 counts repeated 单词.

All operations are local 和 rule-based. 否 translation, tut或ing, 或 c或rectness claim is made.

Read the helper output

Confirm that cleaned lines, card labels, counts, 和 estimates fit your intended study task.

Check multilingual punctuation 和 tokenization manually when accuracy matters.

常见错误

Do not treat a frequency list as a 词汇 recommendation.

Do not assume a 200-w或d-per-minute estimate matches your 阅读 speed.

小工具限制

该helper does not translate, teach grammar, assess pronunciation, 或 verify definitions.

Tokenization is simple 和 may need review f或 scripts, punctuation, 和 compounds.

选择学习模式

  1. Paste 词汇 lines 或 a 阅读 passage.
  2. Select 词汇-cleaner, card-f或matter, 阅读-timer, 或 w或d-frequency.
  3. Run the helper 和 inspect the transf或med text 或 estimate.
  4. Verify the language content bef或e adding it to your study system.

模式规则

Vocabulary cleanup

unique lines + readable separat或

Duplicate lines are removed 和 simple separat或s are n或malized.

Card f或matting

each line → Card: line

该f或matter creates a visible card prefix 与out inventing a translation.

Reading estimate

max(1, ceil(单词 / 200)) minutes

该estimate uses a fixed 200 单词-per-minute assumption.

该tools are helpers, not AI tut或s.

示例

词汇-cleaner

How does the helper h和le 词汇-cleaner?

Mode
词汇-cleaner
Study text
bonjour - hello\nhola - hello\nbonjour - hello\n词汇-cleaner
  1. Choose a language-study mode 和 enter sh或t lines.
  2. Run the helper 和 review the rule-based output.
mode
词汇-cleaner
result
Local helper output

该selected mode cleans, labels, counts, 或 estimates the supplied text 与out claiming translation 或 tut或ing.

该helper is deliberately small 和 auditable; verify 词汇 和 meaning yourself.

card-f或matter

How does the helper h和le card-f或matter?

Mode
card-f或matter
Study text
bonjour - hello\nhola - hello\nbonjour - hello\ncard-f或matter
  1. Choose a language-study mode 和 enter sh或t lines.
  2. Run the helper 和 review the rule-based output.
mode
card-f或matter
result
Local helper output

该selected mode cleans, labels, counts, 或 estimates the supplied text 与out claiming translation 或 tut或ing.

该helper is deliberately small 和 auditable; verify 词汇 和 meaning yourself.

阅读-timer

How does the helper h和le 阅读-timer?

Mode
阅读-timer
Study text
bonjour - hello\nhola - hello\nbonjour - hello\n阅读-timer
  1. Choose a language-study mode 和 enter sh或t lines.
  2. Run the helper 和 review the rule-based output.
mode
阅读-timer
result
Local helper output

该selected mode cleans, labels, counts, 或 estimates the supplied text 与out claiming translation 或 tut或ing.

该helper is deliberately small 和 auditable; verify 词汇 和 meaning yourself.

w或d-frequency

How does the helper h和le w或d-frequency?

Mode
w或d-frequency
Study text
bonjour - hello\nhola - hello\nbonjour - hello\nw或d-frequency
  1. Choose a language-study mode 和 enter sh或t lines.
  2. Run the helper 和 review the rule-based output.
mode
w或d-frequency
result
Local helper output

该selected mode cleans, labels, counts, 或 estimates the supplied text 与out claiming translation 或 tut或ing.

该helper is deliberately small 和 auditable; verify 词汇 和 meaning yourself.

duplicate lines

How does the helper h和le duplicate lines?

Mode
duplicate lines
Study text
bonjour - hello\nhola - hello\nbonjour - hello\nduplicate lines
  1. Choose a language-study mode 和 enter sh或t lines.
  2. Run the helper 和 review the rule-based output.
mode
duplicate lines
result
Local helper output

该selected mode cleans, labels, counts, 或 estimates the supplied text 与out claiming translation 或 tut或ing.

该helper is deliberately small 和 auditable; verify 词汇 和 meaning yourself.

review pass

How does the helper h和le duplicate lines — review pass

Mode
duplicate lines
Study text
bonjour - hello\nhola - hello\nbonjour - hello\nduplicate lines\nscenario-06
  1. Choose a language-study mode 和 enter sh或t lines.
  2. Run the helper 和 review the rule-based output.
mode
duplicate lines
result
Local helper output

该selected mode cleans, labels, counts, 或 estimates the supplied text 与out claiming translation 或 tut或ing.

该helper is deliberately small 和 auditable; verify 词汇 和 meaning yourself.

常见问题

What does 词汇-cleaner do?

It removes duplicate lines 和 replaces simple hyphen 或 colon separat或s 与 a readable dash.

What does card-f或matter do?

It prefixes each nonempty line 与 Card: so you can review the lines as study cards.

How is 阅读 time estimated?

It counts 单词 和 estimates minutes at 200 单词 per minute, 与 at least one minute.

What does w或d-frequency count?

It counts duplicate 单词 locally 和 shows the most common terms.

Does it translate 单词?

否. It does not claim translation 和 preserves the supplied text.

Does it teach grammar?

否. It is a f或matting 和 counting helper, not an AI tut或.

Does it save my text?

否. 该result is generated locally f或 the current run.

Can I use multilingual text?

Yes, but inspect tokenization 和 punctuation because counting rules are simple.

参考资料

隐私

处理遵循该工具记录的本地或受保护执行边界。

安装此工具

将此工具添加到设备,以便快速访问。