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| <h1 id="Lucene_Net_Analysis_OpenNlp" data-uid="Lucene.Net.Analysis.OpenNlp" class="text-break">Namespace Lucene.Net.Analysis.OpenNlp |
| </h1> |
| <div class="markdown level0 summary"><!-- |
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| <p>OpenNLP Library Integration</p> |
| </div> |
| <div class="markdown level0 conceptual"></div> |
| <div class="markdown level0 remarks"></div> |
| <h3 id="classes">Classes |
| </h3> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPChunkerFilter.html">OpenNLPChunkerFilter</a></h4> |
| <section><p>Run OpenNLP chunker. Prerequisite: the <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPTokenizer.html">OpenNLPTokenizer</a> and <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPPOSFilter.html">OpenNLPPOSFilter</a> must precede this filter. |
| Tags terms in the TypeAttribute, replacing the POS tags previously put there by <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPPOSFilter.html">OpenNLPPOSFilter</a>.</p> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPChunkerFilterFactory.html">OpenNLPChunkerFilterFactory</a></h4> |
| <section><p>Factory for <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPChunkerFilter.html">OpenNLPChunkerFilter</a>.</p> |
| <pre><code><fieldType name="text_opennlp_chunked" class="solr.TextField" positionIncrementGap="100"> |
| <analyzer> |
| <tokenizer class="solr.OpenNLPTokenizerFactory" sentenceModel="filename" tokenizerModel="filename"/> |
| <filter class="solr.OpenNLPPOSFilterFactory" posTaggerModel="filename"/> |
| <filter class="solr.OpenNLPChunkerFilterFactory" chunkerModel="filename"/> |
| </analyzer> |
| </fieldType></code></pre> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPLemmatizerFilter.html">OpenNLPLemmatizerFilter</a></h4> |
| <section><p>Runs OpenNLP dictionary-based and/or MaxEnt lemmatizers. |
| <p> |
| Both a dictionary-based lemmatizer and a MaxEnt lemmatizer are supported, |
| via the "dictionary" and "lemmatizerModel" params, respectively. |
| If both are configured, the dictionary-based lemmatizer is tried first, |
| and then the MaxEnt lemmatizer is consulted for out-of-vocabulary tokens. |
| <p> |
| The dictionary file must be encoded as UTF-8, with one entry per line, |
| in the form <code>word[tab]lemma[tab]part-of-speech</code></p> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPLemmatizerFilterFactory.html">OpenNLPLemmatizerFilterFactory</a></h4> |
| <section><p>Factory for <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPLemmatizerFilter.html">OpenNLPLemmatizerFilter</a>.</p> |
| <pre><code><fieldType name="text_opennlp_lemma" class="solr.TextField" positionIncrementGap="100" |
| <analyzer> |
| <tokenizer class="solr.OpenNLPTokenizerFactory" |
| sentenceModel="filename" |
| tokenizerModel="filename"/> |
| /> |
| <filter class="solr.OpenNLPLemmatizerFilterFactory" |
| dictionary="filename" |
| lemmatizerModel="filename"/> |
| </analyzer> |
| </fieldType></code></pre> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPPOSFilter.html">OpenNLPPOSFilter</a></h4> |
| <section><p>Run OpenNLP POS tagger. Tags all terms in the <a class="xref" href="https://lucenenet.apache.org/docs/4.8.0-beta00013/api/core/Lucene.Net.Analysis.TokenAttributes.ITypeAttribute.html">ITypeAttribute</a>.</p> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPPOSFilterFactory.html">OpenNLPPOSFilterFactory</a></h4> |
| <section><p>Factory for <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPPOSFilter.html">OpenNLPPOSFilter</a>.</p> |
| <pre><code><fieldType name="text_opennlp_pos" class="solr.TextField" positionIncrementGap="100"> |
| <analyzer> |
| <tokenizer class="solr.OpenNLPTokenizerFactory" sentenceModel="filename" tokenizerModel="filename"/> |
| <filter class="solr.OpenNLPPOSFilterFactory" posTaggerModel="filename"/> |
| </analyzer> |
| </fieldType></code></pre> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPSentenceBreakIterator.html">OpenNLPSentenceBreakIterator</a></h4> |
| <section><p>A <see cref="!:BreakIterator"></see> that splits sentences using an OpenNLP sentence chunking model.</p> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPTokenizer.html">OpenNLPTokenizer</a></h4> |
| <section><p>Run OpenNLP SentenceDetector and <span class="xref">Lucene.Net.Analysis.Tokenizer</span>. |
| The last token in each sentence is marked by setting the <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPTokenizer.html#Lucene_Net_Analysis_OpenNlp_OpenNLPTokenizer_EOS_FLAG_BIT">EOS_FLAG_BIT</a> in the <a class="xref" href="https://lucenenet.apache.org/docs/4.8.0-beta00013/api/core/Lucene.Net.Analysis.TokenAttributes.IFlagsAttribute.html">IFlagsAttribute</a>; |
| following filters can use this information to apply operations to tokens one sentence at a time.</p> |
| </section> |
| <h4><a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPTokenizerFactory.html">OpenNLPTokenizerFactory</a></h4> |
| <section><p>Factory for <a class="xref" href="Lucene.Net.Analysis.OpenNlp.OpenNLPTokenizer.html">OpenNLPTokenizer</a>.</p> |
| <pre><code><fieldType name="text_opennlp" class="solr.TextField" positionIncrementGap="100" |
| <analyzer> |
| <tokenizer class="solr.OpenNLPTokenizerFactory" sentenceModel="filename" tokenizerModel="filename"/> |
| </analyzer> |
| </fieldType></code></pre> |
| </section> |
| </article> |
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