resources.qmd

---
title: "Resources"
subtitle: "A curated guide to tools, corpora, courses, and communities for language technology and text analysis"
toc: true
toc-depth: 2
---

```{=html}
<style>

/* ── Resource cards (generic) ────────────────────────────────────── */
.resource-grid {
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(240px, 1fr));
  gap: 16px;
  margin: 1.5rem 0;
}
.resource-card {
  background: #fff;
  border: 1px solid #e8e4f0;
  border-top: 4px solid #51247A;
  border-radius: 6px;
  padding: 18px;
}
.resource-card.aqua    { border-top-color: #00A2C7; }
.resource-card.magenta { border-top-color: #962A8B; }
.resource-card.blue    { border-top-color: #4085C6; }
.resource-card.green   { border-top-color: #2EA836; }
.resource-card h4 { margin: 0 0 6px 0; font-size: 0.95rem; font-weight: 700; color: #51247A; }
.resource-card h4 a { color: #51247A; text-decoration: none; }
.resource-card h4 a:hover { color: #00A2C7; }
.resource-card .rc-badge {
  display: inline-block;
  font-size: 0.7rem;
  padding: 2px 8px;
  border-radius: 20px;
  font-weight: 600;
  margin-bottom: 6px;
}
.rc-badge.free    { background: #e6f7ea; color: #1a7a22; }
.rc-badge.paid    { background: #fff0e6; color: #a04a00; }
.rc-badge.partial { background: #fef9e6; color: #8a6a00; }
.resource-card p  { margin: 0 0 8px 0; font-size: 0.85rem; color: #444; line-height: 1.55; }
.resource-card ul { margin: 0; padding-left: 16px; }
.resource-card ul li { font-size: 0.82rem; color: #555; line-height: 1.5; margin-bottom: 2px; }
.resource-card .rc-link {
  display: inline-block;
  margin-top: 10px;
  font-size: 0.78rem;
  color: #51247A;
  font-weight: 600;
  text-decoration: none;
}
.resource-card .rc-link:hover { color: #00A2C7; }

/* ── Section intro strip ─────────────────────────────────────────── */
.section-intro {
  background: #f7f5fb;
  border-left: 4px solid #51247A;
  border-radius: 4px;
  padding: 14px 20px;
  margin: 0 0 1.5rem 0;
  font-size: 0.875rem;
  color: #444;
  line-height: 1.6;
}
.section-intro a { color: #51247A; font-weight: 600; }

/* ── Tool feature list ───────────────────────────────────────────── */
.tool-detail {
  background: #fff;
  border: 1px solid #e8e4f0;
  border-radius: 8px;
  overflow: hidden;
  margin-bottom: 16px;
}
.tool-detail-header {
  background: #51247A;
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}
.tool-detail-header.aqua    { background: #007a9a; }
.tool-detail-header.magenta { background: #7a2272; }
.tool-detail-header h4 { margin: 0; color: white; font-size: 1rem; font-weight: 700; }
.tool-detail-header .tl-sub { color: rgba(255,255,255,0.75); font-size: 0.8rem; margin: 0; }
.tool-detail-header .tl-badge {
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  font-size: 0.72rem;
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}
.tl-badge.free { background: #2EA836; color: white; }
.tl-badge.paid { background: #EB602B; color: white; }
.tl-badge.partial { background: #FBB800; color: #333; }
.tool-detail-body { padding: 18px 22px; }
.tool-detail-body p { font-size: 0.875rem; color: #444; line-height: 1.6; margin: 0 0 10px 0; }
.tool-detail-body ul { margin: 0 0 10px 0; padding-left: 18px; }
.tool-detail-body ul li { font-size: 0.875rem; color: #444; line-height: 1.6; margin-bottom: 3px; }
.tool-tags { display: flex; flex-wrap: wrap; gap: 6px; margin-top: 10px; }
.tool-tag {
  background: #f0eaf7; color: #51247A;
  font-size: 0.72rem; padding: 2px 9px;
  border-radius: 20px; font-weight: 500;
}
.tool-link {
  display: inline-block; margin-top: 10px;
  background: #51247A; color: white !important;
  font-size: 0.78rem; padding: 5px 14px;
  border-radius: 4px; text-decoration: none !important;
  font-weight: 500;
}
.tool-link:hover { background: #00A2C7; }

/* ── Learning path ───────────────────────────────────────────────── */
.learning-path {
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
  gap: 0;
  margin: 1.5rem 0;
  border: 1px solid #e8e4f0;
  border-radius: 8px;
  overflow: hidden;
}
.lp-step {
  padding: 20px;
  border-right: 1px solid #e8e4f0;
  position: relative;
}
.lp-step:last-child { border-right: none; }
.lp-step-num {
  background: #51247A; color: white;
  font-size: 0.75rem; font-weight: 700;
  width: 26px; height: 26px; border-radius: 50%;
  display: flex; align-items: center; justify-content: center;
  margin-bottom: 10px;
}
.lp-step h4 { margin: 0 0 6px 0; font-size: 0.875rem; color: #51247A; font-weight: 700; }
.lp-step p  { margin: 0; font-size: 0.8rem; color: #555; line-height: 1.5; }
.lp-step ul { margin: 6px 0 0 0; padding-left: 16px; }
.lp-step ul li { font-size: 0.8rem; color: #555; line-height: 1.5; margin-bottom: 2px; }

/* ── Corpus table ────────────────────────────────────────────────── */
.corpus-grid {
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
  gap: 12px;
  margin: 1.5rem 0;
}
.corpus-card {
  background: #fff;
  border: 1px solid #e8e4f0;
  border-radius: 6px;
  padding: 14px 16px;
}
.corpus-card h4 { margin: 0 0 4px 0; font-size: 0.875rem; font-weight: 700; color: #51247A; }
.corpus-card h4 a { color: #51247A; text-decoration: none; }
.corpus-card h4 a:hover { color: #00A2C7; }
.corpus-card .c-meta { font-size: 0.78rem; color: #888; margin: 0 0 6px 0; }
.corpus-card p { margin: 0; font-size: 0.8rem; color: #555; line-height: 1.5; }

/* ── Compact link list ───────────────────────────────────────────── */
.link-list {
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
  gap: 10px;
  margin: 1.5rem 0;
}
.link-item {
  background: #f7f5fb;
  border-radius: 4px;
  padding: 10px 14px;
  display: flex;
  align-items: flex-start;
  gap: 10px;
}
.link-item .li-icon { font-size: 1rem; flex-shrink: 0; margin-top: 1px; }
.link-item a { font-weight: 600; font-size: 0.875rem; color: #51247A; text-decoration: none; display: block; }
.link-item a:hover { color: #00A2C7; }
.link-item p { margin: 2px 0 0 0; font-size: 0.78rem; color: #666; line-height: 1.4; }

/* ── CTA banner ──────────────────────────────────────────────────── */
.cta-banner {
  background: linear-gradient(135deg, #51247A 0%, #3d1a5e 100%);
  color: white; border-radius: 8px;
  padding: 32px 40px;
  display: flex; align-items: center;
  justify-content: space-between; flex-wrap: wrap; gap: 20px;
  margin: 2rem 0;
}
.cta-banner h3 { margin: 0 0 6px 0; color: white; font-size: 1.2rem; }
.cta-banner p  { margin: 0; opacity: 0.85; font-size: 0.875rem; }
.cta-actions   { display: flex; gap: 10px; flex-wrap: wrap; }
.btn-aqua {
  background: #00A2C7; color: white !important;
  padding: 10px 20px; border-radius: 4px; font-weight: 600;
  font-size: 0.875rem; text-decoration: none !important; white-space: nowrap;
}
.btn-aqua:hover { background: #008faf; }
.btn-ghost-white {
  background: transparent; color: white !important;
  padding: 10px 20px; border-radius: 4px; font-weight: 600;
  font-size: 0.875rem; text-decoration: none !important;
  border: 2px solid rgba(255,255,255,0.5); white-space: nowrap;
}
.btn-ghost-white:hover { border-color: white; background: rgba(255,255,255,0.1); }

@media (max-width: 640px) {
  .cta-banner    { flex-direction: column; }
  .learning-path { grid-template-columns: 1fr; }
  .lp-step       { border-right: none; border-bottom: 1px solid #e8e4f0; }
  .lp-step:last-child { border-bottom: none; }
}
</style>
```

![](/images/network.jpg){width="30%" style="float:right; padding:10px"}

This curated collection brings together the best resources for language technology, text analytics, corpus linguistics, natural language processing, and computational methods in the humanities and social sciences. Whether you're a complete beginner or an experienced researcher, you'll find tools, tutorials, datasets, and communities to support your work.

---

## LDaCA: LADAL's Home Platform {#ldaca}

LADAL is part of the [**Language Data Commons of Australia (LDaCA)**](https://ldaca.edu.au/), a national research infrastructure providing access to language data and text analysis tools for Australian researchers. LDaCA emerged from the merger of the Australian Text Analytics Platform (ATAP) and PARADISEC, bringing together text analytics infrastructure and endangered language archives.

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <h4>🗂️ Data Discovery</h4>
    <p>Search and access diverse language datasets including Australian English, Indigenous languages, migrant languages, oral history collections, and social media data.</p>
  </div>
  <div class="resource-card aqua">
    <h4>📓 Jupyter Notebooks</h4>
    <p>Browser-based interactive coding environment — no installation needed. Ready-to-use text analysis capabilities for researchers without strong coding backgrounds.</p>
  </div>
  <div class="resource-card magenta">
    <h4>🎓 Training & Support</h4>
    <p>Workshops, tutorials, documentation, and community support for language data researchers nationally. Free for Australian researchers.</p>
  </div>
</div>
<p style="font-size:0.875rem; color:#555; margin-top:-0.5rem;">
  Visit <a href="https://ldaca.edu.au/" style="color:#51247A; font-weight:600;">ldaca.edu.au</a> to explore data collections, create a free account, and access tools and training.
</p>
```

---

## Concordancing and Corpus Tools {#concordance-tools}

```{=html}
<div class="tool-detail">
  <div class="tool-detail-header">
    <div>
      <h4>AntConc and AntLab Suite</h4>
      <p class="tl-sub">Laurence Anthony · Waseda University</p>
    </div>
    <span class="tl-badge free">Free</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="https://www.laurenceanthony.net/software/antconc/" style="color:#51247A;font-weight:600;">AntConc</a> is the most widely-used free concordancing tool worldwide, cross-platform (Windows, Mac, Linux) and ideal for teaching and research.</p>
    <p><strong>Core features:</strong> KWIC concordance · Collocates · Word clusters (n-grams) · Keyword analysis · Dispersion plots</p>
    <p><strong>Other AntLab tools:</strong></p>
    <ul>
      <li><strong>AntFileConverter</strong> — convert PDF/Word/Excel to plain text</li>
      <li><strong>AntPConc</strong> — parallel concordancer for translation studies</li>
      <li><strong>AntWordProfiler</strong> — vocabulary profiling and analysis</li>
      <li><strong>AntGram</strong> — n-gram and word frequency analysis</li>
      <li><strong>FireAnt</strong> — download and organise online texts</li>
      <li><strong>EncodeAnt</strong>, <strong>VariAnt</strong>, <strong>AntFileSplitter</strong>, <strong>AntMover</strong></li>
    </ul>
    <div class="tool-tags">
      <span class="tool-tag">Concordancing</span>
      <span class="tool-tag">Collocations</span>
      <span class="tool-tag">Keywords</span>
      <span class="tool-tag">Beginner-friendly</span>
    </div>
    <a href="https://www.laurenceanthony.net/software/antconc/" class="tool-link">Download AntConc →</a>
  </div>
</div>

<div class="tool-detail">
  <div class="tool-detail-header aqua">
    <div>
      <h4>#LancsBox</h4>
      <p class="tl-sub">Lancaster University</p>
    </div>
    <span class="tl-badge free">Free</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="http://corpora.lancs.ac.uk/lancsbox/" style="color:#51247A;font-weight:600;">#LancsBox</a> is a next-generation corpus toolkit combining ease-of-use with advanced functionality and beautiful visualisations.</p>
    <ul>
      <li><strong>GraphColl</strong> — visualise collocational networks</li>
      <li><strong>Whelk</strong> — powerful regex search</li>
      <li><strong>Wizard</strong> — guided analysis for beginners</li>
      <li>Built-in statistical tests · Multi-language support</li>
    </ul>
    <div class="tool-tags">
      <span class="tool-tag">Network visualisation</span>
      <span class="tool-tag">Collocations</span>
      <span class="tool-tag">Regex</span>
    </div>
    <a href="http://corpora.lancs.ac.uk/lancsbox/" class="tool-link">Visit #LancsBox →</a>
  </div>
</div>

<div class="tool-detail">
  <div class="tool-detail-header magenta">
    <div>
      <h4>Sketch Engine</h4>
      <p class="tl-sub">Lexical Computing</p>
    </div>
    <span class="tl-badge partial">Free trial</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="https://www.sketchengine.eu/" style="color:#51247A;font-weight:600;">Sketch Engine</a> is a comprehensive commercial platform with 90+ pre-loaded corpora and web access.</p>
    <ul>
      <li><strong>Word Sketches</strong> — grammatical/collocational summaries at a glance</li>
      <li>Corpus building, terminology extraction, parallel corpora</li>
      <li>Team collaboration and sharing features</li>
      <li>Best for multilingual research and large-scale projects</li>
    </ul>
    <div class="tool-tags">
      <span class="tool-tag">Multilingual</span>
      <span class="tool-tag">Word sketches</span>
      <span class="tool-tag">Terminology</span>
      <span class="tool-tag">Translation</span>
    </div>
    <a href="https://www.sketchengine.eu/" class="tool-link">Visit Sketch Engine →</a>
  </div>
</div>

<div class="tool-detail">
  <div class="tool-detail-header">
    <div>
      <h4>WordSmith Tools</h4>
      <p class="tl-sub">Mike Scott · Lexically.net</p>
    </div>
    <span class="tl-badge paid">Paid licence</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="https://lexically.net/wordsmith/" style="color:#51247A;font-weight:600;">WordSmith Tools</a> is the professional standard for corpus analysis, trusted by researchers since 1996. Windows only (runs via Wine on Mac).</p>
    <ul>
      <li><strong>Concord</strong> — concordancing with sophisticated search</li>
      <li><strong>KeyWords</strong> — statistical keyword extraction</li>
      <li><strong>WordList</strong> — frequency lists and statistics</li>
      <li>Dispersion plots · Collocate analysis · Batch processing</li>
    </ul>
    <div class="tool-tags">
      <span class="tool-tag">Professional</span>
      <span class="tool-tag">Keywords</span>
      <span class="tool-tag">Statistics</span>
      <span class="tool-tag">Windows</span>
    </div>
    <a href="https://lexically.net/wordsmith/" class="tool-link">Visit WordSmith →</a>
  </div>
</div>
```

### Online Concordancers {#online-concordancers}

No installation needed — use these directly in your browser.

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free with registration</span>
    <h4><a href="https://www.english-corpora.org/">BYU Corpora Family</a></h4>
    <p>COCA (1 billion words, 1990–present), COHA (400M words, 1820s–present), NOW Corpus, TV/Movie/Wikipedia corpora. Genre and time filtering.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://www.lextutor.ca/">Lextutor</a></h4>
    <p>Web-based concordancers, vocabulary profilers, and multiple corpora. Excellent for language learning and teaching.</p>
  </div>
</div>
```

---

## Text Analysis and NLP Tools {#nlp-tools}

```{=html}
<div class="resource-grid">

  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://voyant-tools.org/">Voyant Tools</a></h4>
    <p>Zero installation — works in browser. Upload texts instantly for word clouds, trend graphs, network visualisations, and more. Perfect for digital humanities and teaching.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Browser-based</span>
      <span class="tool-tag">Visualisation</span>
      <span class="tool-tag">Beginner</span>
    </div>
  </div>

  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://orangedatamining.com/">Orange Data Mining</a></h4>
    <p>Visual drag-and-drop tool for text analytics and machine learning — no coding required. Topic modeling (LDA), sentiment analysis, document clustering, word clouds.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">No-code</span>
      <span class="tool-tag">Topic modelling</span>
      <span class="tool-tag">ML</span>
    </div>
  </div>

  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://gate.ac.uk/">GATE</a></h4>
    <p>Open-source platform for large-scale NLP pipelines: information extraction, named entity recognition, relation extraction, semantic annotation, language identification.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">NLP pipelines</span>
      <span class="tool-tag">NER</span>
      <span class="tool-tag">Annotation</span>
    </div>
  </div>

  <div class="resource-card blue">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://spacy.io/">spaCy</a></h4>
    <p>Industrial-strength Python NLP library. Tokenisation, POS tagging, NER, dependency parsing, word vectors. Pre-trained models for 60+ languages. Fast and production-ready.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Python</span>
      <span class="tool-tag">60+ languages</span>
      <span class="tool-tag">Production</span>
    </div>
  </div>

  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://www.nltk.org/">NLTK</a></h4>
    <p>Python's foundational NLP learning platform. Comprehensive tutorials, many datasets included, wide range of algorithms. Ideal for learning NLP from scratch.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Python</span>
      <span class="tool-tag">Educational</span>
      <span class="tool-tag">Beginner</span>
    </div>
  </div>

  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://stanfordnlp.github.io/CoreNLP/">Stanford CoreNLP</a></h4>
    <p>State-of-the-art NLP suite: tokenisation, POS, NER, parsing, coreference resolution, sentiment. Accessible via online demo, command line, Java, Python (stanza), or R.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Multi-language access</span>
      <span class="tool-tag">Coreference</span>
      <span class="tool-tag">Parsing</span>
    </div>
  </div>

</div>
```

### Specialised Tools {#specialized-tools}

```{=html}
<div class="resource-grid">

  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://github.com/booknlp/booknlp">BookNLP</a></h4>
    <p>NLP pipeline designed specifically for books and long documents. Character name clustering, speaker identification, referential gender inference, event tagging. GPU and CPU models available.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Literary analysis</span>
      <span class="tool-tag">Character analysis</span>
      <span class="tool-tag">Python</span>
    </div>
  </div>

  <div class="resource-card aqua">
    <span class="rc-badge partial">Web demo free</span>
    <h4><a href="http://ucrel.lancs.ac.uk/claws/">CLAWS POS Tagger</a></h4>
    <p>Lancaster's world-leading POS tagger — 96–97% accuracy. Tagged the British National Corpus. Web demo and batch processing available. Multiple tagsets.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">POS tagging</span>
      <span class="tool-tag">High accuracy</span>
    </div>
  </div>

  <div class="resource-card magenta">
    <span class="rc-badge partial">Academic free</span>
    <h4><a href="http://ucrel.lancs.ac.uk/usas/">USAS Semantic Tagger</a></h4>
    <p>UCREL Semantic Analysis System — automatic semantic tagging across 21 major discourse fields, multi-word expression recognition, multiple languages. See also <a href="http://ucrel.lancs.ac.uk/wmatrix/">WMatrix</a> for corpus comparison.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Semantic tagging</span>
      <span class="tool-tag">Discourse</span>
    </div>
  </div>

  <div class="resource-card blue">
    <span class="rc-badge free">Free</span>
    <h4><a href="http://smartool.github.io/smartool-rus-eng/">SMARTool</a></h4>
    <p>Corpus-based tool for English-speaking learners of Russian. Handles rich Russian morphology, 3,000 basic vocabulary items, frequency-based learning.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Russian</span>
      <span class="tool-tag">Language learning</span>
    </div>
  </div>

</div>
```

---

## Learning Resources and Courses {#courses}

```{=html}
<div class="tool-detail">
  <div class="tool-detail-header aqua">
    <div>
      <h4>Applied Language Technology</h4>
      <p class="tl-sub">University of Helsinki · Free · Self-paced</p>
    </div>
    <span class="tl-badge free">Free</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="https://applied-language-technology.mooc.fi/html/index.html" style="color:#51247A;font-weight:600;">Two courses</a> designed for linguists and humanists, with Jupyter notebooks and hands-on exercises. No prior programming knowledge needed.</p>
    <ul>
      <li><strong>Working with Text in Python</strong> — Python basics, regular expressions, text processing</li>
      <li><strong>NLP for Linguists</strong> — NLP fundamentals, machine learning basics, deep learning for NLP</li>
    </ul>
    <a href="https://applied-language-technology.mooc.fi/html/index.html" class="tool-link">Start Learning →</a>
  </div>
</div>

<div class="tool-detail">
  <div class="tool-detail-header">
    <div>
      <h4>Introduction to Cultural Analytics & Python</h4>
      <p class="tl-sub">Melanie Walsh · Free · Online textbook</p>
    </div>
    <span class="tl-badge free">Free</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html" style="color:#51247A;font-weight:600;">Outstanding textbook</a> written specifically for humanities and social science scholars. Clear explanations, engaging datasets, continuously updated.</p>
    <ul>
      <li>Python basics · Text analysis and NLP · Social media analysis</li>
      <li>Network analysis · Mapping · Web scraping · Data visualisation</li>
    </ul>
    <a href="https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html" class="tool-link">Read the Textbook →</a>
  </div>
</div>

<div class="tool-detail">
  <div class="tool-detail-header magenta">
    <div>
      <h4>The Programming Historian</h4>
      <p class="tl-sub">Peer-reviewed · Available in EN, ES, FR, PT</p>
    </div>
    <span class="tl-badge free">Free</span>
  </div>
  <div class="tool-detail-body">
    <p><a href="https://programminghistorian.org/en/lessons/" style="color:#51247A;font-weight:600;">Peer-reviewed, collaborative</a> lessons for digital humanists in Python, R, JavaScript, and more. Covers data management, distant reading, network analysis, mapping, GIS, web scraping, and visualisation.</p>
    <a href="https://programminghistorian.org/en/lessons/" class="tool-link">Browse Lessons →</a>
  </div>
</div>
```

### R and Statistics {#r-statistics}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://r4ds.had.co.nz/">R for Data Science</a></h4>
    <p>By Hadley Wickham & Garrett Grolemund. Modern data science workflow using the tidyverse ecosystem. The standard starting point for R learners.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://www.tidytextmining.com/">Text Mining with R</a></h4>
    <p>By Julia Silge & David Robinson. Tidy approach to text analysis with practical, reproducible examples throughout.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://tutorials.quanteda.io/">Quanteda Tutorials</a></h4>
    <p>Official quanteda documentation with comprehensive corpus analysis guides — our recommended R framework for text analysis.</p>
  </div>
  <div class="resource-card blue">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://adv-r.hadley.nz/">Advanced R</a></h4>
    <p>By Hadley Wickham. Deep dive into R programming for experienced users wanting to understand the language fully.</p>
  </div>
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="http://www.sthda.com/english/">STHDA</a></h4>
    <p>Comprehensive R tutorials for statistical methods, data visualisation with ggplot2, and machine learning.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://www.statmethods.net/">Quick-R</a></h4>
    <p>Quick-reference R code snippets for data management, statistics, and visualisation by Rob Kabacoff.</p>
  </div>
</div>
```

### Specialist Training Platforms {#specialist-training}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://glam-workbench.net/">GLAM Workbench</a></h4>
    <p>Tools and tutorials for working with data from galleries, libraries, archives, and museums in Australia and New Zealand. Jupyter notebooks — click and run, no installation needed.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="http://tapor.ca/home">TAPoR 3</a></h4>
    <p>Curated directory of 1,500+ text analysis research tools with descriptions, reviews, and comparison features. Search by analysis type, platform, language, cost, or discipline.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge partial">Paid</span>
    <h4><a href="http://ucrel.lancs.ac.uk/summerschool/">Lancaster Summer Schools</a></h4>
    <p>Annual intensive corpus linguistics courses, beginner to advanced, with expert instruction and hands-on training at Lancaster University.</p>
  </div>
</div>
```

---

## Research Centres and Labs {#centers}

```{=html}
<div class="resource-grid">

  <div class="resource-card">
    <h4><a href="http://ucrel.lancs.ac.uk/">UCREL, Lancaster University</a></h4>
    <p>World-leading corpus linguistics research centre. Developers of CLAWS, USAS, and Wmatrix. Home of the British National Corpus and annual summer schools.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Corpus linguistics</span>
      <span class="tool-tag">NLP tools</span>
    </div>
  </div>

  <div class="resource-card aqua">
    <h4><a href="https://www.helsinki.fi/en/researchgroups/varieng">VARIENG, University of Helsinki</a></h4>
    <p>Research Unit for Variation, Contacts and Change in English. Home of the Helsinki Corpus, Corpus of Early English Correspondence, and multiple parsed corpora.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Language change</span>
      <span class="tool-tag">Historical corpora</span>
    </div>
  </div>

  <div class="resource-card magenta">
    <h4><a href="https://sydneycorpuslab.com/">Sydney Corpus Lab</a></h4>
    <p>Promotes corpus linguistics across Australia — workshops, training, research collaboration, and community building for corpus linguists.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Australia</span>
      <span class="tool-tag">Community</span>
    </div>
  </div>

  <div class="resource-card blue">
    <h4><a href="https://www.cl.uzh.ch/en/TCC.html">Text Crunching Centre, University of Zurich</a></h4>
    <p>NLP expertise as a service: consulting, custom tool development, text processing pipelines, sentiment analysis, topic modelling, and named entity recognition.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">NLP consulting</span>
      <span class="tool-tag">Custom pipelines</span>
    </div>
  </div>

  <div class="resource-card">
    <h4><a href="https://site.uit.no/acqvalab">AcqVA Aurora Lab, UiT</a></h4>
    <p>Research in language acquisition, variation, and attrition. Offers methodological consultation, data collection facilities, and analysis support.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Acquisition</span>
      <span class="tool-tag">Psycholinguistics</span>
    </div>
  </div>

  <div class="resource-card aqua">
    <h4><a href="https://litlab.stanford.edu/">Stanford Literary Lab</a></h4>
    <p>Computational literary studies using quantitative methods. Research publications and innovative approaches to large-scale literary analysis.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Digital humanities</span>
      <span class="tool-tag">Literary studies</span>
    </div>
  </div>

  <div class="resource-card magenta">
    <h4><a href="https://leibniz-hbi.de/en/research/research-programmes/media-research-methods-lab">Media Research Methods Lab, HBI</a></h4>
    <p>Computational social science, social media analysis, automated content analysis, and network analysis at Leibniz Institute for Media Research.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Social media</span>
      <span class="tool-tag">Computational SS</span>
    </div>
  </div>

  <div class="resource-card blue">
    <h4><a href="http://www.nactem.ac.uk/">NaCTeM</a></h4>
    <p>UK's first publicly-funded text mining centre. Software tools, training materials, and services in literature-based discovery and biomedical text mining.</p>
    <div class="tool-tags" style="margin-top:8px">
      <span class="tool-tag">Text mining</span>
      <span class="tool-tag">Biomedical NLP</span>
    </div>
  </div>

</div>
```

---

## Corpora and Datasets {#corpora}

### Major English Corpora

```{=html}
<div class="corpus-grid">

  <div class="corpus-card">
    <h4><a href="http://www.natcorp.ox.ac.uk/">British National Corpus (BNC)</a></h4>
    <div class="c-meta">100M words · 1980s–90s · Written & spoken · POS tagged</div>
    <p>Gold standard reference corpus for British English. BNC2014 (100M words, 2010s) available for modern comparisons.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://www.english-corpora.org/coca/">COCA</a></h4>
    <div class="c-meta">1 billion words · 1990–2019 · Free with registration</div>
    <p>Corpus of Contemporary American English. Balanced across spoken, fiction, magazines, newspapers, and academic genres.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://www.ice-corpora.uzh.ch/en.html">International Corpus of English (ICE)</a></h4>
    <div class="c-meta">1M words per variety · 20+ national varieties</div>
    <p>Parallel corpora across national varieties including GB, USA, Ireland, Canada, India, Hong Kong, and more. Comparable structure, grammatically annotated.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://books.google.com/ngrams">Google Books Ngram Corpus</a></h4>
    <div class="c-meta">Trillions of words · 1500–2019 · Multiple languages</div>
    <p>Phrase frequency over time across multiple languages. Excellent for diachronic studies. Dataset downloadable for offline analysis.</p>
  </div>

</div>
```

### Historical Corpora

```{=html}
<div class="corpus-grid">

  <div class="corpus-card">
    <h4><a href="https://www.english-corpora.org/coha/">COHA</a></h4>
    <div class="c-meta">400M words · 1820s–2000s · Balanced by decade</div>
    <p>Corpus of Historical American English. Fiction, magazines, newspapers, and non-fiction for tracking language change over two centuries.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://www.textcreationpartnership.org/tcp-eebo/">Early English Books Online (EEBO)</a></h4>
    <div class="c-meta">1473–1700 · 25,000+ texts</div>
    <p>Covers the beginnings of English printing. Critical for historical linguistics and early modern English research.</p>
  </div>

  <div class="corpus-card">
    <h4>Corpus of English Dialogues (CED)</h4>
    <div class="c-meta">1560–1760 · University of Helsinki</div>
    <p>Trial proceedings, drama, and didactic works representing real and simulated conversation in Early Modern English.</p>
  </div>

</div>
```

### Specialised Corpora

```{=html}
<div class="corpus-grid">

  <div class="corpus-card">
    <h4><a href="https://quod.lib.umich.edu/m/micase/">MICASE</a></h4>
    <div class="c-meta">1.8M words · Academic spoken English</div>
    <p>Michigan Corpus of Academic Spoken English. Lectures, seminars, and study groups. Searchable online.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://www.univie.ac.at/voice/">VOICE</a></h4>
    <div class="c-meta">1M words · 50+ L1 backgrounds</div>
    <p>Vienna-Oxford International Corpus of English. Face-to-face interaction in English as a Lingua Franca.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://childes.talkbank.org/">CHILDES</a></h4>
    <div class="c-meta">50+ languages · Longitudinal</div>
    <p>Child Language Data Exchange System. Transcription standards and CLAN analysis tools for language acquisition research.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://corpus.mml.cam.ac.uk/efcamdat/">EFCAMDAT</a></h4>
    <div class="c-meta">70M words · 150+ countries</div>
    <p>EF-Cambridge Open Language Database. Large-scale learner corpus for L2 English research.</p>
  </div>

</div>
```

### Multilingual and Parallel Corpora

```{=html}
<div class="corpus-grid">

  <div class="corpus-card">
    <h4><a href="https://universaldependencies.org/">Universal Dependencies</a></h4>
    <div class="c-meta">100+ languages · Open source</div>
    <p>Syntactically annotated treebanks with cross-linguistically consistent annotation. Regular releases.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://corpora.uni-leipzig.de/en">Leipzig Corpora Collection</a></h4>
    <div class="c-meta">136 languages · Web-crawled</div>
    <p>Freely downloadable web-crawled text corpora in 136 languages of various sizes.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://opus.nlpl.eu/">OPUS</a></h4>
    <div class="c-meta">90+ languages · Free download</div>
    <p>Open parallel corpus collection: movie subtitles, Bible translations, EU documents, OpenSubtitles, and more.</p>
  </div>

  <div class="corpus-card">
    <h4><a href="https://www.statmt.org/europarl/">Europarl</a></h4>
    <div class="c-meta">21 languages · Sentence-aligned</div>
    <p>European Parliament proceedings — large-scale, sentence-aligned parallel corpus for translation research and MT.</p>
  </div>

</div>
```

---

## Blogs and Communities {#blogs}

```{=html}
<div class="link-list">

  <div class="link-item">
    <div class="li-icon">📝</div>
    <div>
      <a href="https://corpling.hypotheses.org/">Around the Word (Hypotheses)</a>
      <p>Guillaume Desagulier's corpus linguistics notebook — usage-based methods, R for corpus analysis, cognitive linguistics, construction grammar.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">📝</div>
    <div>
      <a href="https://linguisticswithacorpus.wordpress.com/">Linguistics with a Corpus</a>
      <p>Companion to <em>Doing Linguistics with a Corpus</em> by Egbert, Larsson & Biber. Corpus methodology, research design, statistical issues, methodological debates.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">📧</div>
    <div>
      <a href="https://www.hit.uib.no/corpora/">Corpora Mailing List</a>
      <p>Long-running discussion list for the corpus linguistics community — tool announcements, conference info, job postings, corpus releases.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">📝</div>
    <div>
      <a href="https://aneesha.medium.com/">Aneesha Bakharia (Medium)</a>
      <p>Data science, topic modelling, deep learning, and learning analytics with practical tutorials.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">🔬</div>
    <div>
      <a href="https://research.qut.edu.au/digitalobservatory/">Digital Observatory, QUT</a>
      <p>Social media data collection, workshops, tool updates, open office hours, and research methods from QUT's Digital Observatory.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">📊</div>
    <div>
      <a href="https://simplystatistics.org/">Simply Statistics</a>
      <p>Thoughtful commentary on statistics and data science from Jeff Leek, Roger Peng, and Rafa Irizarry.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">🌐</div>
    <div>
      <a href="https://digitalhumanitiesnow.org/">Digital Humanities Now</a>
      <p>News aggregator for the DH community — project highlights, announcements, and curated content.</p>
    </div>
  </div>

  <div class="link-item">
    <div class="li-icon">📧</div>
    <div>
      <a href="https://dhhumanist.org/">Humanist Discussion Group</a>
      <p>Long-running digital humanities mailing list (since 1987). Thoughtful, sustained discussions on DH theory and practice.</p>
    </div>
  </div>

</div>
```

---

## Additional Tools {#additional}

### Visualisation

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://ggplot2.tidyverse.org/">ggplot2 (R)</a></h4>
    <p>Grammar of Graphics implementation for R. Publication-quality, highly customisable plots. The standard for R visualisation.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://gephi.org/">Gephi</a></h4>
    <p>Interactive network visualisation for large graphs. Open source, widely used for social network and co-occurrence analysis.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://plotly.com/r/">Plotly (R & Python)</a></h4>
    <p>Interactive, web-ready graphs in both R and Python. Excellent for sharing interactive visualisations online.</p>
  </div>
  <div class="resource-card blue">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://shiny.rstudio.com/">Shiny (R)</a></h4>
    <p>Build interactive web apps from R — no web development skills needed. Great for sharing research tools.</p>
  </div>
</div>
```

### Annotation Tools

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://webanno.github.io/webanno/">WebAnno</a></h4>
    <p>Web-based multi-user annotation with inter-annotator agreement metrics. Supports many annotation types.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://inception-project.github.io/">INCEpTION</a></h4>
    <p>Semantic annotation with knowledge base integration and active learning recommendations. Open source.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://brat.nlplab.org/">brat</a></h4>
    <p>Browser-based linguistic annotation for entities, relationships, and coreference chains.</p>
  </div>
  <div class="resource-card blue">
    <span class="rc-badge paid">Paid (edu discount)</span>
    <h4><a href="https://prodi.gy/">Prodigy</a></h4>
    <p>Modern annotation tool with active learning for rapid, efficient data labelling. From the makers of spaCy.</p>
  </div>
</div>
```

### Data Management

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://osf.io/">Open Science Framework (OSF)</a></h4>
    <p>Project management, preregistration, DOI minting, and version control for open science workflows.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://zenodo.org/">Zenodo</a></h4>
    <p>Long-term data preservation with DOI minting. GitHub integration. Free storage for datasets and code.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://github.com/">GitHub</a></h4>
    <p>Version control, collaboration, and open science. Host code, data, and project websites. Essential for reproducible research.</p>
  </div>
</div>
```

### Machine Learning and Deep Learning

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://huggingface.co/">Hugging Face</a></h4>
    <p>Transformers library, pre-trained models (BERT, GPT, RoBERTa, XLM), datasets, and a community model hub. The go-to platform for modern NLP.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://pytorch.org/">PyTorch</a></h4>
    <p>Research-friendly deep learning framework with dynamic computation graphs. Growing adoption in NLP research.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://www.tensorflow.org/">TensorFlow / Keras</a></h4>
    <p>Google's deep learning framework with the Keras high-level API. Production-friendly and widely used for NLP applications.</p>
  </div>
</div>
```

---

## Getting Started {#getting-started}

```{=html}
<div class="learning-path">
  <div class="lp-step">
    <div class="lp-step-num">1</div>
    <h4>Explore without installing</h4>
    <ul>
      <li><a href="https://voyant-tools.org/">Try Voyant Tools</a></li>
      <li><a href="https://www.english-corpora.org/coca/">Search COCA</a></li>
      <li><a href="https://www.youtube.com/user/laurenceanthony/videos">Watch AntConc tutorials</a></li>
    </ul>
  </div>
  <div class="lp-step">
    <div class="lp-step-num">2</div>
    <h4>Install first tools</h4>
    <ul>
      <li><a href="https://www.laurenceanthony.net/software/antconc/">Download AntConc</a></li>
      <li>Follow a simple tutorial</li>
      <li>Analyse your own texts</li>
    </ul>
  </div>
  <div class="lp-step">
    <div class="lp-step-num">3</div>
    <h4>Learn programming</h4>
    <ul>
      <li><a href="https://melaniewalsh.github.io/Intro-Cultural-Analytics/">Cultural Analytics</a></li>
      <li><a href="https://applied-language-technology.mooc.fi/">Applied Language Tech</a></li>
      <li>Practice with small projects</li>
    </ul>
  </div>
  <div class="lp-step">
    <div class="lp-step-num">4</div>
    <h4>Specialise and share</h4>
    <ul>
      <li>Choose your focus area</li>
      <li>Join a community</li>
      <li>Start a research project</li>
      <li>Contribute back</li>
    </ul>
  </div>
</div>
```

---

## Python Visualisation {#python-viz}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://matplotlib.org/">matplotlib</a></h4>
    <p>Foundation visualisation library for Python. Highly customisable, publication-quality, and the basis for many other libraries.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://seaborn.pydata.org/">seaborn</a></h4>
    <p>Statistical visualisation with beautiful defaults, built on matplotlib. Great for data exploration.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://altair-viz.github.io/">Altair</a></h4>
    <p>Declarative, interactive visualisation for Python based on Vega-Lite. Clean grammar-of-graphics approach.</p>
  </div>
  <div class="resource-card blue">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://cytoscape.org/">Cytoscape</a></h4>
    <p>Network analysis and visualisation with biological and linguistic applications. Extensible plugin ecosystem.</p>
  </div>
</div>
```

## Python Text Analysis Frameworks {#python-frameworks}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://scikit-learn.org/">scikit-learn</a></h4>
    <p>Machine learning for Python. Text classification, clustering, and feature extraction with a consistent, well-documented API.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://radimrehurek.com/gensim/">Gensim</a></h4>
    <p>Topic modelling, word embeddings (Word2Vec, fastText), and document similarity at scale. Efficient with large corpora.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://textblob.readthedocs.io/">TextBlob</a></h4>
    <p>Simple NLP in Python: sentiment analysis, part-of-speech tagging, translation. A great starting point for beginners.</p>
  </div>
</div>
```

## R Text Analysis Frameworks {#r-frameworks}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://quanteda.io/">quanteda</a></h4>
    <p>Comprehensive, fast, and well-documented text analysis for R. Our recommended choice for corpus analysis.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://www.tidytextmining.com/">tidytext</a></h4>
    <p>Tidy data principles applied to text mining. Integrates seamlessly with dplyr and ggplot2.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://cran.r-project.org/package=tm">tm (text mining)</a></h4>
    <p>Established R package for text mining. Document-term matrices, preprocessing, and broad tool compatibility.</p>
  </div>
</div>
```

## Documentation and Publishing {#documentation}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://jupyterbook.org/">Jupyter Book</a></h4>
    <p>Create beautiful, interactive online books directly from Jupyter notebooks. Ideal for sharing reproducible research.</p>
  </div>
  <div class="resource-card aqua">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://readthedocs.org/">Read the Docs</a></h4>
    <p>Documentation hosting with Sphinx integration and version support. Standard platform for open-source project docs.</p>
  </div>
  <div class="resource-card magenta">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://dataverse.org/">Dataverse</a></h4>
    <p>Open-source data repository network used by universities and research institutions. Supports data citation and archiving.</p>
  </div>
  <div class="resource-card blue">
    <span class="rc-badge free">Free</span>
    <h4><a href="https://gitlab.com/">GitLab</a></h4>
    <p>Alternative to GitHub with private repositories, built-in CI/CD, and self-hosting options.</p>
  </div>
</div>
```

---

## Awards and Showcases {#awards}

```{=html}
<div class="resource-grid">
  <div class="resource-card">
    <h4><a href="http://dhawards.org/">Digital Humanities Awards</a></h4>
    <p>Annual community-voted recognition of excellent DH work across categories including Best Tool, Best Dataset, Best Visualisation, Best Training Materials, and Best Use of DH for Fun. A great way to discover cutting-edge projects.</p>
  </div>
  <div class="resource-card aqua">
    <h4><a href="https://hcommons.org/">Humanities Commons</a></h4>
    <p>Academic social network for sharing research, discovering projects, and collaborating across the humanities. Open access, community-governed.</p>
  </div>
  <div class="resource-card magenta">
    <h4><a href="https://kdl.kcl.ac.uk/">King's Digital Lab</a></h4>
    <p>Software development, digital humanities projects, research infrastructure, and training at King's College London.</p>
  </div>
  <div class="resource-card blue">
    <h4><a href="https://cdrh.unl.edu/literarylab">Nebraska Literary Lab</a></h4>
    <p>Digital humanities research, text analysis projects, and teaching resources at the University of Nebraska.</p>
  </div>
</div>
```

---

## Stay Updated {#stay-updated}

### Conferences {#conferences}

**Corpus Linguistics:** ICAME (International Computer Archive of Modern and Medieval English) · Corpus Linguistics (biennial) · CLUK (Corpus Linguistics in the UK)

**Digital Humanities:** DH (Digital Humanities conference) · TEI (Text Encoding Initiative) · ADHO (Alliance of Digital Humanities Organizations) · [DHd Blog](https://dhd-blog.org/) (German DH community, multilingual posts)

**NLP/Computational Linguistics:** ACL · NAACL · EMNLP · COLING

Browse upcoming events at [linguistic-conferences.org](https://linguistic-conferences.org/) and [dh-abstracts.library.cmu.edu](https://dh-abstracts.library.cmu.edu/).

---

## Contributing a Tutorial {#contributing}

Want to add a tutorial to LADAL? We welcome contributions from researchers and practitioners at all career stages.

**Download templates:** [Tutorial template (.Rmd)](https://slcladal.github.io/content/base.Rmd) · [Bibliography file (.bib)](https://slcladal.github.io/content/bibliography.bib)

**Required elements:** Clear learning objectives · Setup instructions · Worked examples with code · Exercises with solutions · `sessionInfo()` for reproducibility

**Submission:** Develop your tutorial, test all code, then email your `.Rmd` file and any supporting data files to [ladal@uq.edu.au](mailto:ladal@uq.edu.au). We'll review, suggest any revisions, and publish with full attribution.

**Code style:** Function and package names in backticks · Consistent indentation · Comments on complex operations · Use `library()` not `require()`

**Tables:** Use `flextable` · Clear captions · Appropriate width settings

**Exercises:** Use the standard exercise block with collapsible `<details>` answer sections so readers can attempt the problem before revealing the solution.

**Citation format for your tutorial:**

```
YourLastName, YourFirstName. 2026. *The Title of Your Tutorial*.
Your Institution. url: https://ladal.edu.au/tutorials/.../....html (Version 2026.MM.DD).
```

**BibTeX entry:**

```bibtex
@manual{yourlastname2026topic,
  author = {YourLastName, YourFirstName},
  title = {The Title of Your Tutorial},
  note = {https://slcladal.github.io/shorttitleofyourtutorial.html},
  year = {2026},
  organization = {Your Affiliation},
  address = {Your Location},
  edition = {2026.MM.DD}
}
```

---

```{=html}
<div class="cta-banner">
  <div>
    <h3>Know a resource we've missed?</h3>
    <p>This page is a living document. If you have a tool, corpus, course, or community to suggest, we'd love to hear from you.</p>
  </div>
  <div class="cta-actions">
    <a href="mailto:ladal@uq.edu.au" class="btn-aqua">Suggest a Resource</a>
    <a href="/tutorials.html" class="btn-ghost-white">Browse Tutorials</a>
  </div>
</div>
```

## References {.unnumbered}

Egbert, J., Larsson, T., & Biber, D. (2020). *Doing linguistics with a corpus: Methodological considerations for the everyday user*. Cambridge University Press.

Anthony, L. (2004). AntConc: A learner and classroom friendly, multi-platform corpus analysis toolkit. *IWLeL 2004*, 7–13.

McEnery, T., & Hardie, A. (2011). *Corpus linguistics: Method, theory and practice*. Cambridge University Press.

Silge, J., & Robinson, D. (2017). *Text mining with R: A tidy approach*. O'Reilly Media.

Sinclair, J. (1991). *Corpus, concordance, collocation*. Oxford University Press.

Walsh, M. (2021). *Introduction to Cultural Analytics & Python*. <https://melaniewalsh.github.io/Intro-Cultural-Analytics/>

Wickham, H., & Grolemund, G. (2016). *R for data science*. O'Reilly Media.

---

**Last updated:** 2026-03-28 · **Maintained by:** The LADAL Team · **Contribute:** [Contact us](/contact.html)

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