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Errata Language Analysis This section contains information about tokenizers and filters related to character set conversion or for use with specific languages. For the European languages, tokenization is fairly straightforward. In other languages the tokenization rules are often not so simple.

Errata Language Analysis This section contains information about tokenizers and filters related to character set conversion or bulgxrian use with specific languages. For the European languages, tokenization is fairly straightforward. In other languages the tokenization rules are often not so simple. Some European languages may also require special tokenization rules, such as rules for decompounding German words.

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For information about language detection at index time, see Detecting Languages During Indexing. KeywordMarkerFilterFactory Protects words from being modified by stemmers. A customized protected word list may be specified with the "protected" attribute in the schema.

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Any words in the protected word list will not be modified by any stemmer in Solr. A sample Solr protwords. If placed before a stemmer, the result will be that you will get the unstemmed token preserved on the same position as the stemmed one.

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Queries matching the original exact term will get a better score while still maintaining the recall benefit of stemming. Another advantage of keeping the original token is that wildcard truncation will work as expected. To configure, add the KeywordRepeatFilterFactory early in the analysis chain. It is recommended to also include RemoveDuplicatesTokenFilterFactory to avoid duplicates when tokens are not stemmed.

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StemmerOverrideFilterFactory Overrides stemming algorithms by applying a custom mapping, then protecting these terms bulgaruan being modified by stemmers. A customized mapping of words to stems, in a tab-separated file, can be specified to the "dictionary" attribute in the schema. Words in this mapping will be stemmed to the stems from the file, and will not be further changed by any stemmer. A sample stemdict. Each input token is passed through unchanged.

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If it can also be decompounded into subwords, each subword is also added to the stream at the same logical position. Compound words are most commonly found in Germanic languages.

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Factory class: solr. DictionaryCompoundWordTokenFilterFactory Arguments: dictionary required The path of a file that contains a list of simple words, one per line.

Blank lines and lines that begin with " " are chatss. This path may be an absolute path, or path relative to the Solr config directory. Example: Assume that germanwords. Unicode Collation in Solr is fast, because all the work is done at index time.

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CollationField and solr. ICUCollationField field type classes provide this functionality. ICUCollationField, which is backed by the ICU4J libraryprovides more flexible configuration, has more locales, is ificantly faster, and requires less memory and less index space, since its keys are smaller than those produced by the JDK implementation that backs solr.

ICUCollationField and solr. CollationField fields can be created in two ways: Based upon a system collator associated with a Locale. Based upon a tailored RuleBasedCollator ruleset.

Arguments for solr. See the ICU locale explorer for a list of supported locales. Expert options: Valid values are shifted or non-ignorable. The default is false. Useful to control which is sorted first when cbats is not ignored. Controls what is variable for alternate. Locales are typically defined as a combination of language and country, but you can specify just the language if you want.

For example, if you specify "de" as the language, you will get sorting that works well for the German language. If you specify "de" as the language and "CH" as the country, chhats will get German sorting specifically tailored for Switzerland. We could create French, English, Spanish versions too, and sort differently for different users!

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The strength of the collation determines how strict the sort order will be, but it also depends upon the language. For example, in English, "primary" strength ignores differences in case and accents. The "secondary" strength will ignore case differences, but, unlike "primary" strength, a letter with diacritic s will be sorted differently from the same base letter without diacritics.

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However, adding a large of sort fields can increase disk and indexing costs. An alternative approach is to use the Unicode default collator.

To use the default locale, simply define the locale as the empty string. This Unicode default sort is still ificantly more advanced than the standard Solr sort. In the example below, we create a custom rule set for German called DIN This example shows how to create a custom rule set for solr. The principles of JDK Collation are the same as those of ICU Gay chat kik you just specify language, country and variant arguments instead of the combined locale argument.

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