RRepoGEO

REPOGEO REPORT · LITE

yuanxiaosc/BERT_Paper_Chinese_Translation

Default branch master · commit 883d3bf9 · scanned 6/16/2026, 10:43:20 PM

GitHub: 686 stars · 141 forks

AI VISIBILITY SCORE
20 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface yuanxiaosc/BERT_Paper_Chinese_Translation, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to emphasize value and completeness

    Why:

    CURRENT
    **BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译**
    COPY-PASTE FIX
    **BERT 论文中文完整翻译：深度学习 NLP 核心概念与引用资源导航**
  • mediumtopics#2
    Expand repository topics to include broader educational and NLP terms

    Why:

    CURRENT
    bert, chinese-translation, paper, paper-translate, transformer
    COPY-PASTE FIX
    bert, chinese-translation, paper, paper-translate, transformer, nlp-paper, deep-learning-paper, machine-learning-translation, nlp-explanation
  • lowreadme#3
    Add a dedicated section in README highlighting the translation's unique value

    Why:

    COPY-PASTE FIX
    ## 本翻译的特色与价值

本资源提供了 BERT 论文的完整中文翻译，并精心整理了论文中所有引用资料的网络连接，旨在为对 BERT 感兴趣的研究者和学习者提供一个全面、便捷的深度学习 NLP 学习资源。

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface yuanxiaosc/BERT_Paper_Chinese_Translation
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bilibili
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Bilibili · recommended 2×
  2. CSDN · recommended 2×
  3. Zhihu · recommended 2×
  4. Jay Alammar's Illustrated BERT · recommended 1×
  5. 李宏毅 (Hung-yi Lee) Machine Learning Lecture · recommended 1×
  • CATEGORY QUERY
    Where can I find a clear Chinese explanation of the BERT transformer model paper?
    you: not recommended
    AI recommended (in order):
    1. Jay Alammar's Illustrated BERT
    2. 李宏毅 (Hung-yi Lee) Machine Learning Lecture
    3. Bilibili
    4. CSDN
    5. Zhihu

    AI recommended 5 alternatives but never named yuanxiaosc/BERT_Paper_Chinese_Translation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for translated deep learning research papers to understand complex NLP concepts in Chinese.
    you: not recommended
    AI recommended (in order):
    1. PaperWeekly
    2. Zhihu
    3. Bilibili
    4. CSDN
    5. GitHub
    6. WeChat Official Accounts

    AI recommended 6 alternatives but never named yuanxiaosc/BERT_Paper_Chinese_Translation. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of yuanxiaosc/BERT_Paper_Chinese_Translation?
    pass
    AI did not name yuanxiaosc/BERT_Paper_Chinese_Translation — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts yuanxiaosc/BERT_Paper_Chinese_Translation in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name yuanxiaosc/BERT_Paper_Chinese_Translation — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo yuanxiaosc/BERT_Paper_Chinese_Translation solve, and who is the primary audience?
    pass
    AI did not name yuanxiaosc/BERT_Paper_Chinese_Translation — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of yuanxiaosc/BERT_Paper_Chinese_Translation. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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yuanxiaosc/BERT_Paper_Chinese_Translation — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite