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<?xml version="1.0" encoding="ascii"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
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<a href="Stemmer-module.html">Module Stemmer</a> ::
Class Stemmer
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<!-- ==================== CLASS DESCRIPTION ==================== -->
<h1 class="epydoc">Class Stemmer</h1><p class="nomargin-top"></p>
<pre class="base-tree">
object --+
|
<strong class="uidshort">Stemmer</strong>
</pre>
<hr />
<p>An instance of a stemming algorithm.</p>
<p>The algorithm has internal state, so must not be called concurrently.
ie, only a single thread should access the instance at any given time.</p>
<p>When creating a <a href="Stemmer.Stemmer-class.html" class="link">Stemmer</a> object, there is one required argument: the
name of the algorithm to use in the new stemmer. A list of the valid
algorithm names may be obtained by calling the <a href="Stemmer-module.html#algorithms" class="link">algorithms()</a> function
in this module. In addition, the appropriate stemming algorithm for a
given language may be obtained by using the 2 or 3 letter ISO 639
language codes.</p>
<p>A second optional argument to the constructor for <a href="Stemmer.Stemmer-class.html" class="link">Stemmer</a> is the size
of cache to use. The cache implemented in this module is not terribly
efficient, but benchmarks show that it approximately doubles
performance for typical text processing operations, without too much
memory overhead. The cache may be disabled by passing a size of 0.
The default size (10000 words) is probably appropriate in most
situations. In pathological cases (for example, when no word is
presented to the stemming algorithm more than once, so the cache is
useless), the cache can severely damage performance.</p>
<p>The "benchmark.py" script supplied with the PyStemmer distribution can
be used to test the performance of the stemming algorithms with various
cache sizes.</p>
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<td><span class="summary-sig"><a href="Stemmer.Stemmer-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">...</span>)</span><br />
x.__init__(...) initializes x; see help(type(x)) for signature</td>
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<span class="summary-type">a new object with type S, a subtype of T</span>
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<td><span class="summary-sig"><a href="Stemmer.Stemmer-class.html#__new__" class="summary-sig-name">__new__</a>(<span class="summary-sig-arg">T</span>,
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<td><span class="summary-sig"><a name="__purgeCache"></a><span class="summary-sig-name">__purgeCache</span>(<span class="summary-sig-arg">...</span>)</span></td>
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<td><span class="summary-sig"><a href="Stemmer.Stemmer-class.html#stemWord" class="summary-sig-name">stemWord</a>(<span class="summary-sig-arg">...</span>)</span><br />
Stem a word.</td>
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<td><span class="summary-sig"><a href="Stemmer.Stemmer-class.html#stemWords" class="summary-sig-name">stemWords</a>(<span class="summary-sig-arg">...</span>)</span><br />
Stem a list of words.</td>
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<p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
<code>__delattr__</code>,
<code>__format__</code>,
<code>__getattribute__</code>,
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<a href="Stemmer.Stemmer-class.html#maxCacheSize" class="summary-name">maxCacheSize</a><br />
Maximum number of entries to allow in the cache.
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<p class="indent-wrapped-lines"><b>Inherited from <code>object</code></b>:
<code>__class__</code>
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<p>x.__init__(...) initializes x; see help(type(x)) for signature</p>
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<dl class="fields">
<dt>Returns: a new object with type S, a subtype of T</dt>
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<a name="stemWord"></a>
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cellspacing="0" width="100%" bgcolor="white">
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<h3 class="epydoc"><span class="sig"><span class="sig-name">stemWord</span>(<span class="sig-arg">...</span>)</span>
</h3>
</td><td align="right" valign="top"
>
</td>
</tr></table>
<p>Stem a word.</p>
<p>This takes a single argument, <tt class="rst-docutils literal">word</tt>, which should either be a UTF-8
encoded string, or a unicode object.</p>
<p>The result is the stemmed form of the word. If the word supplied
was a unicode object, the result will be a unicode object: if the
word supplied was a string, the result will be a UTF-8 encoded
string.</p>
<dl class="fields">
</dl>
</td></tr></table>
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<a name="stemWords"></a>
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cellspacing="0" width="100%" bgcolor="white">
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<h3 class="epydoc"><span class="sig"><span class="sig-name">stemWords</span>(<span class="sig-arg">...</span>)</span>
</h3>
</td><td align="right" valign="top"
>
</td>
</tr></table>
<p>Stem a list of words.</p>
<p>This takes a single argument, <tt class="rst-docutils literal">words</tt>, which must be a sequence,
iterator, generator or similar.</p>
<p>The entries in <tt class="rst-docutils literal">words</tt> should either be UTF-8 encoded strings, or a
unicode objects.</p>
<p>The result is a list of the stemmed forms of the words. If the
word supplied was a unicode object, the stemmed form will be a
unicode object: if the word supplied was a string, the stemmed form
will be a UTF-8 encoded string.</p>
<dl class="fields">
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<br />
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<h3 class="epydoc">maxCacheSize</h3>
<p>Maximum number of entries to allow in the cache.</p>
<p>This may be set to zero to disable the cache entirely.</p>
<p>The maximum cache size may be set at any point - setting the
maximum size will purge entries from the cache if the new maximum
size is smaller than the current size.</p>
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