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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 79634596c65bfaa599ac34c87302859b
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var DOCUMENTATION_OPTIONS = {
URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
VERSION: 'thai2plot-16-g80717c1',
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<head>
<meta charset="utf-8" />
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<meta charset="utf-8" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

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<title>🪿 Han-Coref: Thai Coreference resolution by PyThaiNLP &mdash; pythainlp-tutorials thai2plot-16-g80717c1 documentation</title>
<title>🪿 Han-Coref: Thai Coreference resolution by PyThaiNLP &mdash; pythainlp-tutorials thai2plot-18-g321b53d documentation</title>
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<meta charset="utf-8" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />

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<title>Thai Dependency Parser &mdash; pythainlp-tutorials thai2plot-16-g80717c1 documentation</title>
<title>Thai Dependency Parser &mdash; pythainlp-tutorials thai2plot-18-g321b53d documentation</title>
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</div>
<section id="Thai-Dependency-Parser">
<h1>Thai Dependency Parser<a class="headerlink" href="#Thai-Dependency-Parser" title="Permalink to this heading"></a></h1>
<p>PyThaiNLP have not <code class="docutils literal notranslate"><span class="pre">Thai</span> <span class="pre">Dependency</span> <span class="pre">Parser</span></code>. You can use Dependency Parser from spaCy-Thai.</p>
<p>spaCy-Thai work with Universal Dependencies. <a class="reference external" href="https://github.com/KoichiYasuoka/spaCy-Thai">github.com/KoichiYasuoka/spaCy-Thai</a></p>
<p>PyThaiNLP does not come with a dependency parser. Instead, you can use the dependency parser from <a class="reference external" href="github.com/KoichiYasuoka/spaCy-Thai">spaCy-Thai</a>, which was trained on Universal Dependencies. This tutorial shows you how to get started.</p>
<p>Install spaCy-Thai.</p>
<div class="nbinput docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
</pre></div>
</div>
<div class="input_area highlight-python notranslate"><div class="highlight"><pre><span></span>!pip install spacy_thai
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>spacy_thai
</pre></div>
</div>
</div>
Expand Down Expand Up @@ -165,47 +165,42 @@ <h1>Thai Dependency Parser<a class="headerlink" href="#Thai-Dependency-Parser" t
Successfully installed deplacy-1.9.3 pythainlp-2.2.6 python-crfsuite-0.9.7 spacy-thai-0.6.2 tinydb-4.4.0 ufal.udpipe-1.2.0.3
</pre></div></div>
</div>
<p>Import spaCy-Thai.</p>
<div class="nbinput nblast docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
</pre></div>
</div>
<div class="input_area highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">spacy_thai</span>
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">spacy_thai</span>
<span class="n">nlp</span><span class="o">=</span><span class="n">spacy_thai</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
</pre></div>
</div>
</div>
<p>Do the dependency parse by calling <code class="docutils literal notranslate"><span class="pre">nlp</span></code> on a sentence.</p>
<div class="nbinput nblast docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
</pre></div>
</div>
<div class="input_area highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">doc</span><span class="o">=</span><span class="n">nlp</span><span class="p">(</span><span class="s2">&quot;พวกเราใช้ภาษาไทย&quot;</span><span class="p">)</span>
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">doc</span><span class="o">=</span><span class="n">nlp</span><span class="p">(</span><span class="s2">&quot;พวกเราใช้ภาษาไทย&quot;</span><span class="p">)</span>
</pre></div>
</div>
</div>
<p>You can visualize the dependency parse with <a class="reference external" href="https://spacy.io/universe/project/deplacy">deplacy</a>, a tree visualizer for Universal Dependencies.</p>
<div class="nbinput docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
</pre></div>
</div>
<div class="input_area highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">graphviz</span>
<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">graphviz</span>
<span class="kn">import</span> <span class="nn">deplacy</span>
<span class="n">graphviz</span><span class="o">.</span><span class="n">Source</span><span class="p">(</span><span class="n">deplacy</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">doc</span><span class="p">))</span>
</pre></div>
</div>
</div>
<div class="nboutput nblast docutils container">
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
</pre></div>
</div>
<div class="output_area docutils container">
<img alt="../_images/notebooks_Thai_Dependency_Parser_4_0.svg" src="../_images/notebooks_Thai_Dependency_Parser_4_0.svg" /></div>
</div>
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<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
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<div class="input_area highlight-python notranslate"><div class="highlight"><pre><span></span>
</pre></div>
</div>
<img alt="../_images/notebooks_Thai_Dependency_Parser_8_0.svg" src="../_images/notebooks_Thai_Dependency_Parser_8_0.svg" /></div>
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</section>

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65 changes: 45 additions & 20 deletions notebooks/Thai_Dependency_Parser.ipynb
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"source": [
"# Thai Dependency Parser\n",
"\n",
"PyThaiNLP have not ```Thai Dependency Parser```. You can use Dependency Parser from spaCy-Thai.\n",
"\n",
"\n",
"spaCy-Thai work with Universal Dependencies. [github.com/KoichiYasuoka/spaCy-Thai](https://github.com/KoichiYasuoka/spaCy-Thai)\n",
"\n"
"PyThaiNLP does not come with a dependency parser. Instead, you can use the dependency parser from [spaCy-Thai](github.com/KoichiYasuoka/spaCy-Thai), which was trained on Universal Dependencies. This tutorial shows you how to get started."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Install spaCy-Thai."
]
},
{
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"!pip install spacy_thai"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Import spaCy-Thai."
]
},
{
"cell_type": "code",
"execution_count": 2,
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"nlp=spacy_thai.load()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Do the dependency parse by calling `nlp` on a sentence. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 3,
"metadata": {
"id": "37h9csjAtEZB"
},
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"doc=nlp(\"พวกเราใช้ภาษาไทย\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can visualize the dependency parse with [deplacy](https://spacy.io/universe/project/deplacy), a tree visualizer for Universal Dependencies."
]
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
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"<graphviz.files.Source at 0x7ffa4cebf3d0>"
]
},
"execution_count": 7,
"execution_count": 4,
"metadata": {
"tags": []
},
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"import deplacy\n",
"graphviz.Source(deplacy.dot(doc))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "B5XXoxFttMO2"
},
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"source": []
}
],
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