🌐 [translation-sync] Read the SCF sample from high_dim_data main

[mmcky]

Automated Translation Sync

This PR contains automated translations from QuantEcon/lecture-python-intro.

Source PR

#793 - Read the SCF sample from high_dim_data main

Files Updated

• ✏️ lectures/mle.md
• ✏️ .translate/state/mle.md.yml

Details

• Source Language: en
• Target Language: zh-cn
• Model: claude-sonnet-5

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This PR was created automatically by the translation action.

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✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-18

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📝 Translation Quality

Criterion	Score
Accuracy	9/10
Fluency	9/10
Terminology	8/10
Formatting	9/10
Overall	8.8/10

Summary: The translation of the modified sections (preamble and Introduction) is accurate, fluent, and largely faithful to the source, with correct handling of technical terminology and mathematical notation. Minor issues include a shift in narrative voice (third-person to second-person direct address), a small addition of unstated information ('地区'), and minor loss of nuance in one sentence about data collection difficulty. These are stylistic/accuracy nuances rather than critical errors, and the translation overall reads naturally and preserves the technical content well. The mathematical formulas, code blocks, and equation labels are preserved accurately and completely without alteration. Technical terms such as '最大似然估计', '对数正态分布', '帕累托分布', and '似然函数' are translated consistently and match the reference glossary. The translation appropriately adds explanatory Chinese comments in code cells (e.g., '# 计算 μ 的估计值') that aid reader comprehension without altering code functionality. The heading translations in the YAML frontmatter metadata align well with the glossary and document structure.

Suggestions:

• Introduction section, 'the following code imports...': The English uses 'Maximum Likelihood Estimation' link to Wikipedia, but the Chinese translation replaces it with a Baidu Baike link (https://baike.baidu.com/item/最大似然估计/4967925). This substitution pattern (Wikipedia→Baidu) is applied consistently but should be verified against project conventions, as it changes the reference source from the original English document.
• Introduction section: 'Consider a situation where a policymaker is trying to estimate...' is translated as '假设你是一位政策制定者，你想尝试估算...' which shifts from third-person narrative ('a policymaker') to second-person direct address ('你是一位政策制定者'). This is a notable register shift from the source that changes the tone from descriptive to conversational; consider using third person like '假设一位政策制定者正试图估算...' for closer fidelity.
• Introduction section: 'For a population of size N... total revenue raised by the tax will be' translated as '对于一个人口数量为N的地区' introduces the word '地区' (region/area) which is not in the source. The source only specifies 'a population of size N' without specifying it's a region; consider '对于一个规模为N的人口' to avoid adding unstated information.
• Introduction section: 'in most countries, wealth is not observed for all individuals' is translated as '在大多数国家中，并不是所有的个人财富都能被观测到' — this is accurate, but 'Collecting and maintaining accurate wealth data for all individuals or households in a country is just too hard' becomes '收集并追踪一国所有个人或家庭的财富数据是非常困难的', dropping 'accurate' (准确的) and changing 'maintaining' to '追踪' (tracking) rather than '维护'/'保持'; consider '收集并维护一国所有个人或家庭准确的财富数据是非常困难的' for closer accuracy.

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🔍 Diff Quality

Check	Status
Scope Correct	✅
Position Correct	✅
Structure Preserved	✅
Heading-map Correct	✅
Overall	10/10

Summary: The sole content change (URL update in the SCF data-loading code cell) was already present in the target before/after, but an unrelated jupytext_version metadata change was introduced that doesn't correspond to the flagged source diff.

Issues:

• The jupytext_version in the target frontmatter was changed from 1.16.7 to 1.15.2, which was not the actual change in the source diff. The source only changed the URL in the code cell. This jupytext_version change appears unrelated/incorrect, though it now matches the source's version exactly (possibly a separate unintended sync).

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This review was generated automatically by action-translation review mode.

[Copilot]

Pull request overview

Automated translation-sync metadata update for the mle lecture, aligning the zh-cn target with the latest upstream source state from QuantEcon/lecture-python-intro PR #793.

Changes:

• Updated lectures/mle.md frontmatter jupytext_version to 1.15.2.
• Updated translation sync state metadata (sync date, model, mode) for mle.md.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
lectures/mle.md	Updates Jupytext frontmatter metadata to match the synced source state.
.translate/state/mle.md.yml	Records updated translation sync metadata (date/model/mode) for reproducibility and tracking.

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[github-actions]

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