Add industry vocabulary support - #81

Merged
IchenDEV merged 2 commits into
mainfrom
codex/industry-vocabulary
Aug 24, 2026
Merged

Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom
codex/industry-vocabulary

Conversation

@IchenDEV

@IchenDEVIchenDEV commented Aug 24, 2026•
edited
Loading

Copy link
Copy Markdown
Owner

Summary

  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts

Chinese industry lexicon landscape

  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems

Evaluation

The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:

  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit

This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.

Tests

  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD

swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.

@IchenDEV
IchenDEV marked this pull request as ready for review August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed the codex/industry-vocabulary branch from 638ea26 to dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV merged commit de45ea8 into mainAug 24, 2026
2 checks passed
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

No one assigned

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
Add industry vocabulary support - #81
Merged
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Aug 24, 2026
Merged
Add industry vocabulary support#81
IchenDEV merged 2 commits into
mainfrom 
codex/industry-vocabulary
Conversation
@IchenDEV
@IchenDEVIchenDEV
commented
Aug 24, 2026•

edited

Loading

Copy link


Copy Markdown

Owner
Summary
  • add versioned zh-CN vocabulary packs for medical, legal, finance/accounting, and software technology, with reference-only source and redistribution metadata
  • route the selected pack through Apple Speech and Whisper contextual biasing, conservative output normalization, and correction-only LLM prompt guidance while keeping personal terms at higher priority
  • add a native macOS settings picker with searchable term previews, localization, catalog validation, deterministic evaluation, and primary-source research artifacts
Chinese industry lexicon landscape
  • map 18 mainland-Chinese industry areas spanning IT, cybersecurity, medicine/TCM, law, finance, manufacturing, energy, construction, transport, agriculture, education, government service, e-commerce, telecom, aerospace, publishing, environment/weather, and tourism/catering
  • classify sources as bundled, reference-only, or import-only; public access is not treated as commercial redistribution permission
  • identify THUOCL/MIT as the strongest bundled candidate (157,171 normalized rows / 156,668 unique at pinned commit), subject to age, format, quality, and real-audio gates
  • keep national standards, TermOnline, and ministry/agency terminology as reference-only unless separately licensed; recommend local user import for Sogou, Baidu, and mixed/proprietary input-method ecosystems
Evaluation
The deterministic text corpus validates catalog loading, selection, priority, correction, and non-target preservation:
  • baseline target-term recall: 20.59%
  • treatment target-term recall: 100.00%
  • absolute improvement: 79.41 percentage points
  • non-target preservation: 100.00%
  • recognition context: at most 44 phrases per bundled pack, below the 100-phrase limit
This is not a real-audio ASR quality claim. The research artifacts define the frozen paired-audio release gates; that corpus has not yet been recorded and run.
Tests
  • bash scripts/ci-basic-checks.sh
  • PYTHONDONTWRITEBYTECODE=1 python3 -m unittest scripts/tests/test_evaluate_voice_quality.py (6 passed)
  • Swift frontend parse for all source and XCTest Swift files
  • jq empty Sources/Resources/IndustryLexicons.json
  • git diff --check origin/main...HEAD
swift test --filter IndustryLexiconTests is currently blocked before application tests compile because this machine is configured with Command Line Tools only and the MLX dependency cannot find the metal compiler. The standalone evaluator compiles the production catalog and replacement-engine sources directly and passes.
@IchenDEV
IchenDEV
marked this pull request as ready for review
August 24, 2026 07:03
@IchenDEV
IchenDEVforce-pushed
the
codex/industry-vocabulary
branch
from
638ea26 to
dc6768dCompareAugust 24, 2026 07:30
@IchenDEV
IchenDEV
merged commit de45ea8
into
mainAug 24, 2026

2 checks passed

Sign up for freeto join this conversation on GitHub.
Already have an account?
Sign in to comment

Reviewers


No reviews


Assignees


No one assigned


Labels


None yet


Projects


None yet


Milestone


No milestone


Development

Successfully merging this pull request may close these issues.

1 participant

@IchenDEV