[action-translation] resync: prob_matrix.md#146
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Pull request overview
This PR forward-resyncs the Chinese translation of prob_matrix.md to align with the upstream English lecture, updating both the lecture content and the translation sync state metadata.
Changes:
- Added translation frontmatter mappings and refreshed multiple sections to match the current upstream structure/content.
- Updated code cells and imports (e.g.,
scipy,default_rng) and introduced new material (Gaussian copula example, exercises + solutions). - Added a translation sync state file recording source SHA and resync metadata.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| lectures/prob_matrix.md | Whole-lecture resync: adds translation frontmatter, updates probability theory narrative, modernizes code cells, and adds new examples/exercises. |
| .translate/state/prob_matrix.md.yml | Records resync provenance (source SHA/date/model/mode/section count). |
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| * $X$ 的可能值的数量是有限的或可数无限的 | ||
| * 我们用**概率质量函数**（一个非负且和为1的序列）代替**密度** | ||
| * 在类似 {eq}`eq:CDFfromdensity` 这样的关联累积分布函数和概率质量函数的公式中，我们用求和代替积分 | ||
| * 在密度存在的情况下，我们用求和代替像 {eq}`eq:CDFfromdensity` 这样公式中的积分 |
| \textrm{Prob}\{Y=j\vert X=i\} = \frac{\rho_{ij}}{ \sum_{j}\rho_{ij}} | ||
| = \frac{\textrm{Prob}\{Y=j, X=i\}}{\textrm{Prob}\{ X=i\}} |
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| $$ | ||
| p_{ij}=\textrm{Prob}\{Y=j \mid X=i\}=\frac{\rho_{ij}}{\sum_j \rho_{ij}}, | ||
| p_{ij}=\textrm{Prob}\{Y=j|X=i\}= \frac{\rho_{ij}}{ \sum_{j}\rho_{ij}} |
…anslation#116) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-18 📝 Translation Quality
Summary: This is a high-quality, comprehensive resync translation that accurately conveys the mathematical and conceptual content of the English source while maintaining natural Simplified Chinese academic prose. Terminology is consistent with the glossary, and all code/math blocks are intact. Minor issues include inconsistent PrettyTable field-name translations across similar examples (e.g., coupling section table headers) and an unexplained addition of font-configuration code in the imports block, but these do not affect overall comprehension or correctness. Mathematical notation, LaTeX equations, and code blocks are fully preserved and correctly rendered throughout the resynced document. Technical terminology (联合分布, 边缘分布, 条件分布, 耦合, Copula函数, 充分统计量, etc.) is applied consistently and matches standard academic Chinese usage. Complex conceptual passages (e.g., probability space definitions, Bayes' law note, copula construction steps) are translated with high fidelity and natural academic register. Section headings and structure align well with the source, and the added YAML translation metadata follows expected conventions. Suggestions:
🔍 Diff Quality
Summary: The resync correctly restructures the target document to match the source's section order, adds the translation metadata block with accurate heading mappings, and removes stale/duplicated content, though the final target is missing translated solutions for exercises 3-5 that exist in the source. Issues:
This review was generated automatically by action-translation review mode. |
Forward Resync: prob_matrix.md
Source: QuantEcon/lecture-python.myst — lectures/prob_matrix.md
Source commit:
78030a3This PR resyncs the translation to match the current source document.
Reason: This is a substantially different/older version of the lecture. The target lacks major newer sections from source (probability space/measure formal definitions details, frequentist vs Bayesian subsection details, transition probability matrix formatted differently, Gaussian copula example, all 5 exercises with solutions, updated library imports like scipy.stats/comb/rng). Conversely, target contains substantial content not in source: a full narrative example about job interview daily wage with discrete-continuous variable, sample mean/variance code and analytical calculations for that example, and different phrasing/structure in several sections (e.g., probability space described narratively rather than with rigorous sigma-algebra definitions). Since target has unique examples/sections absent from source, this is TARGET_HAS_ADDITIONS.
Changes
Whole-file resync applied. The entire document was resynced in a single pass.
Created by action-translation forward resync