RRepoGEO

REPOGEO REPORT · LITE

speechio/chinese_text_normalization

Default branch master · commit 5d81cefc · scanned 6/15/2026, 8:18:04 AM

GitHub: 732 stars · 151 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 speechio/chinese_text_normalization, 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

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

OVERALL DIRECTION
  • mediumtopics#1
    Add more specific topics to improve categorization

    Why:

    CURRENT
    asr, chinese, kaldi-asr, sparrowhawk, speech-recognition, text-normalization, thrax-gramma
    COPY-PASTE FIX
    asr, chinese, kaldi-asr, sparrowhawk, speech-recognition, text-normalization, thrax-gramma, mandarin, tts, speech-synthesis, nlp-for-speech
  • lowreadme#2
    Complete the 'Normalizers' section in the README

    Why:

    CURRENT
    ## Normalizers

1. support
    COPY-PASTE FIX
    ## Normalizers

1. **Numbers:** Convert numerical expressions (e.g., dates, times, currency, fractions) into their spoken forms.
2. **Punctuation:** Handle various punctuation marks for appropriate speech pauses and intonation.
3. **Abbreviations:** Expand common abbreviations into full words.
4. **Symbols:** Normalize symbols and special characters relevant to Chinese text.
5. **Custom Rules:** Support for user-defined rules to handle specific domain-dependent normalizations.

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 speechio/chinese_text_normalization
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenNMT-py
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenNMT-py · recommended 1×
  2. Fairseq · recommended 1×
  3. Pynini · recommended 1×
  4. HanLP · recommended 1×
  5. Jieba · recommended 1×
  • CATEGORY QUERY
    How to normalize Chinese text for speech recognition applications?
    you: not recommended
    AI recommended (in order):
    1. OpenNMT-py
    2. Fairseq
    3. Pynini
    4. HanLP
    5. Jieba
    6. Stanford CoreNLP

    AI recommended 6 alternatives but never named speechio/chinese_text_normalization. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools for Mandarin text normalization in ASR?
    you: not recommended
    AI recommended (in order):
    1. Thunlp/THULAC (Thunlp/THULAC)
    2. PaddleNLP
    3. OpenNMT-py (OpenNMT/OpenNMT-py)
    4. Stanford NLP
    5. Jieba (fxsjy/jieba)

    AI recommended 5 alternatives but never named speechio/chinese_text_normalization. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 speechio/chinese_text_normalization?
    pass
    AI did not name speechio/chinese_text_normalization — 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 speechio/chinese_text_normalization in production, what risks or prerequisites should they evaluate first?
    pass
    AI named speechio/chinese_text_normalization explicitly

    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 speechio/chinese_text_normalization solve, and who is the primary audience?
    pass
    AI did not name speechio/chinese_text_normalization — 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

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speechio/chinese_text_normalization — 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