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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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GitHub - AJohnstone2007/referenceImplementation: This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART · GitHub
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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - AJohnstone2007/referenceImplementation: This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART · GitHub
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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - AJohnstone2007/referenceImplementation: This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART · GitHub
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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - AJohnstone2007/referenceImplementation: This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART · GitHub
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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - AJohnstone2007/referenceImplementation: This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART · GitHub
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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - AJohnstone2007/referenceImplementation: This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART · GitHub
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ART reference implementation

As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

This is the reference implementation of the Royal Holloway software language engineering tool ART written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL, RNGLR and BRNGLR algorithms.

Our goals are (a) to provide a 'programmer friendly' route into GLL (b) to provide a baseline for principled performance testing of GLL implementations and (c) extend the approach to other general parsing algorithms.

The initial version of this work was presented at the Software Language Engineering 2023 conference near Lisbon. You can read the associated paper here. The slides from that presentation are in doc/referenceImplementationSlides.pdf

We continue to extend the code and the associated grammars and test corprora. For a current account of this work, please read the Technical Report The GLL algorithm and its variants - a reference implementation which you will find in doc/referenceImplementationReport.pdf (Note: currently not in the archive whilst we do major updates: email Adrian for a quick guide.)

You may also find the following pages useful.

Our reference programming language exmples at https://github.com/AJohnstone2007/referenceLanguageCorpora

Our research papers at https://pure.royalholloway.ac.uk/en/persons/adrian-johnstone/publications

The code and other material in this repository © 2010-2024 by Adrian Johnstone is licensed under CC BY 4.0

Adrian Johnstone, a.johnstone@rhul.ac.uk

About

This is a reference implementation of GLL and its variants written by Adrian Johnstone and tested by Elizabeth Scott; we are the authors of the GLL algorithm. As of 29 May 2024, this repo is frozen; the work has been embedded in the main ART repo at https://github.com/AJohnstone2007/ART

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