Makes the following changes to the `kstem` token filter docs:
* Rewrite description and adds a Lucene work
* Adds detailed analyze example
* Adds an analyzer example
The Lucene `preserve_original` setting is currently not supported in the `edge_ngram`
token filter. This change adds it with a default value of `false`.
Closes#55767
Makes the following changes to the `stemmer` token filter docs:
* Adds detailed analyze example
* Rewrites parameter definitions
* Adds custom analyzer example
* Adds a `language` value for the `estonian` stemmer
* Reorders the `language` values to show recommended algorithms first,
followed by other values alphabetically
Adds conceptual documentation for stemming, including:
* An overview of why stemming is helpful in search
* Algorithmic vs. dictionary stemming
* Token filters used to control stemming, such as `stemmer_override`, `keyword_marker`, and `conditional`
* [DOCS] Reformat `flatten_graph` token filter
Makes the following changes to the `flatten_graph` token filter docs:
* Rewrites description and adds Lucene link
* Adds detailed analyze example
* Adds analyzer example
Creates a reusable template for token filter reference documentation.
Contributors can make a copy of this template and customize it when
documenting new token filters.
Makes the following changes to the `keyword_marker` token filter docs:
* Rewrites description and adds Lucene link
* Adds detailed analyze example
* Rewrites parameter definitions
* Adds custom analyzer and filter example
Adds conceptual docs for token graphs.
These docs cover:
* How a token graph is constructed from a token stream
* How synonyms and multi-position tokens impact token graphs
* How token graphs are used during search
* Why some token filters produce invalid token graphs
Also makes the following supporting changes:
* Adds anchors to the 'Anatomy of an Analyzer' docs for cross-linking
* Adds several SVGs for token graph diagrams
Makes the following changes to the `remove_duplicates` token filter
docs:
* Rewrites description and adds Lucene link
* Adds detailed analyze example
* Adds custom analyzer example
This change removes the Lucene's experimental flag from the documentations of the following
tokenizer/filters:
* Simple Pattern Split Tokenizer
* Simple Pattern tokenizer
* Flatten Graph Token Filter
* Word Delimiter Graph Token Filter
The flag is still present in Lucene codebase but we're fully supporting these tokenizers/filters
in ES for a long time now so the docs flag is misleading.
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Makes the following changes to the `word_delimiter` token filter docs:
* Adds a warning admonition recommending the `word_delimiter_graph`
filter instead. This warning includes a link to the deprecated Lucene
`WordDelimiterFilter`.
* Updates the description
* Adds detailed analyze snippet
* Adds custom analyzer and custom filter snippets
* Reorganizes and updates parameter documentation
In a tip admonition, we recommend using the `keyword` tokenizer with the
`word_delimiter_graph` token filter. However, we only use the
`whitespace` tokenizer in the example snippets. This updates those
snippets to use the `keyword` tokenizer instead.
Also corrects several spacing issues for arrays in these docs.
Makes the following changes to the `word_delimiter_graph` token filter
docs:
* Updates the Lucene experimental admonition.
* Updates description
* Adds analyze snippet
* Adds custom analyzer and custom filter snippets
* Reorganizes and updates parameter list
* Expands and updates section re: differences between `word_delimiter`
and `word_delimiter_graph`
Per the [Asciidoctor docs][0], Asciidoctor replaces the following
syntax with double arrows in the rendered HTML:
* => renders as ⇒
* <= renders as ⇐
This escapes several unintended replacements, such as in the Painless
docs.
Where appropriate, it also replaces some double arrow instances with
single arrows for consistency.
[0]: https://asciidoctor.org/docs/user-manual/#replacements
Makes the following changes to the `stop` token filter docs:
* Updates description
* Adds a link to the related Lucene filter
* Adds detailed analyze snippet
* Updates custom analyzer and custom filter snippets
* Adds a list of predefined stop words by language
Co-authored-by: ScottieL <36999642+ScottieL@users.noreply.github.com>
Makes the following changes to the `trim` token filter docs:
* Updates description
* Adds a link to the related Lucene filter
* Adds tip about removing whitespace using tokenizers
* Adds detailed analyze snippets
* Adds custom analyzer snippet
* [DOCS] Rewrite analysis intro. Move index/search analysis content.
* Rewrites 'Text analysis' page intro as high-level definition.
Adds guidance on when users should configure text analysis
* Rewrites and splits index/search analysis content:
* Conceptual content -> 'Index and search analysis' under 'Concepts'
* Task-based content -> 'Specify an analyzer' under 'Configure...'
* Adds detailed examples for when to use the same index/search analyzer
and when not.
* Adds new example snippets for specifying search analyzers
* clarifications
* Add toc. Decrement headings.
* Reword 'When to configure' section
* Remove sentence from tip
Adds a 'Configure text analysis' page to house tutorial content for the
analysis topic.
Also relocates the following pages as children as this new page:
* 'Test an analyzer'
* 'Configuring built-in analyzers'
* 'Create a custom analyzer'
I plan to add a tutorial for specifying index-time and search-time
analyzers to this section as part of a future PR.
This helps the topic better match the structure of
our machine learning docs, e.g.
https://www.elastic.co/guide/en/machine-learning/7.5/ml-concepts.html
This PR only includes the 'Anatomy of an analyzer' page as a 'Concepts'
child page, but I plan to add other concepts, such as 'Index time vs.
search time', with later PRs.
* Changes titles to sentence case.
* Appends pages with 'reference' to differentiate their content from
conceptual overviews.
* Moves the 'Normalizers' page to end of the Analysis topic pages.
Adds a 'text analysis overview' page to the analysis topic docs.
The goals of this page are:
* Concisely summarize the analysis process while avoiding in-depth concepts, tutorials, or API examples
* Explain why analysis is important, largely through highlighting problems with full-text searches missing analysis
* Highlight how analysis can be used to improve search results
markharwood
James Rodewig
Amit Khandelwal
lgypro
Jim Ferenczi
rhymes
debadair
PND
Nik Everett