RRepoGEO

REPOGEO REPORT · LITE

edobashira/speech-language-processing

Default branch master · commit d1d815f2 · scanned 6/26/2026, 9:27:46 PM

GitHub: 2,227 stars · 290 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 edobashira/speech-language-processing, 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
  • hightopics#1
    Add descriptive topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, speech-processing, natural-language-processing, nlp-resources, speech-recognition, finite-state-machines
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage terms.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the GitHub repository settings to a relevant project page, documentation, or the GitHub repository URL itself if no external site exists.

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 edobashira/speech-language-processing
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome NLP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome NLP · recommended 1×
  2. Hugging Face Transformers Documentation · recommended 1×
  3. Speech and Language Processing (Jurafsky and Martin) · recommended 1×
  4. ACL Anthology · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of resources for speech and natural language processing?
    you: not recommended
    AI recommended (in order):
    1. Awesome NLP
    2. Hugging Face Transformers Documentation
    3. Speech and Language Processing (Jurafsky and Martin)
    4. ACL Anthology
    5. Kaggle
    6. Papers With Code
    7. Google AI Blog
    8. OpenAI Blog
    9. Meta AI Blog

    AI recommended 9 alternatives but never named edobashira/speech-language-processing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best finite state machine toolkits for natural language processing tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenFST (google/openfst)
    2. Pynini (google/pynini)
    3. FSM (m-r-s/fsm)
    4. re
    5. spaCy's Matcher (explosion/spaCy)
    6. Stately (jorendorff/stately)

    AI recommended 6 alternatives but never named edobashira/speech-language-processing. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 edobashira/speech-language-processing?
    pass
    AI named edobashira/speech-language-processing explicitly

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

  • If a team adopts edobashira/speech-language-processing in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name edobashira/speech-language-processing — 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 edobashira/speech-language-processing solve, and who is the primary audience?
    pass
    AI did not name edobashira/speech-language-processing — 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?

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edobashira/speech-language-processing — 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