The Hunspell service would throw a confusing error message if more than
one affix file was present. This commit distinguishes between the two
error cases: where there are no affix files and when there are too many
affix files.
Also implements lazy dictionary loading, which was used in the tests
but not implemented.
Closes#6850
Currently regexes in Pattern Tokenizer docs are escaped (it seems according to Java rules). I think it is better not to escape them because JSON escaping should be automatic in client libraries, and string escaping depends on a client language used. The default pattern is `\W+`, not `\\W+`.
Closes#6615
Add `irish` analyzer
Add `sorani` analyzer (Kurdish)
Add `classic` tokenizer: specific to english text and tries to recognize hostnames, companies, acronyms, etc.
Add `thai` tokenizer: segments thai text into words.
Add `classic` tokenfilter: cleans up acronyms and possessives from classic tokenizer
Add `apostrophe` tokenfilter: removes text after apostrophe and the apostrophe itself
Add `german_normalization` tokenfilter: umlaut/sharp S normalization
Add `hindi_normalization` tokenfilter: accounts for hindi spelling differences
Add `indic_normalization` tokenfilter: accounts for different unicode representations in Indian languages
Add `sorani_normalization` tokenfilter: normalizes kurdish text
Add `scandinavian_normalization` tokenfilter: normalizes Norwegian, Danish, Swedish text
Add `scandinavian_folding` tokenfilter: much more aggressive form of `scandinavian_normalization`
Add additional languages to stemmer tokenfilter: `galician`, `minimal_galician`, `irish`, `sorani`, `light_nynorsk`, `minimal_nynorsk`
Add support access to default Thai stopword set "_thai_"
Fix some bugs and broken links in documentation.
Closes#5935
* `english` returned the slow snowball English stemmer
* `porter2` returned the snowball Porter stemmer (v1)
* `portuguese` was used twice, preventing the second version from working
Changes:
* `english` now returns the fast PorterStemmer (for indices created from v1.3.0 onwards)
* `porter2` now returns the snowball English stemmer (for indices created from v1.3.0 onwards)
* `light_english` now returns the `kstem` stemmer (`kstem` still works)
* `portuguese_rslp` returns the PortugueseStemmer
* `dutch_kp` is a synonym for `kp`
Tests and docs updated
Fixes#6345Fixes#6213Fixes#6330
Lucene 4.7 supports a setter for the `filler_token` that is
inserted if there are gaps in the token stream. This change exposes
this setting.
Closes#4307
`standard_html_strip` and `pattern` analyzer support stopwords which are
set to the default `english` stopwords by default. Those analyzers
should not use stopwords by default since they are language neutral
Closes#4699
The 'default' / 'standard' analyzer can be a trappy default sicne it filters
english stopwords by default. Yet a default should not be dedicated to a certain language
since elasticsearch is used in many different scenarios where a standard analysis chain
with specialization to english full-text might be rather counter productive.
This commit changes the 'standard' analyzer to use an empty stopword list for indices
that are created from 1.0.0.Beta1 version onwards but will maintain backwards compatibiliy
for older indices.
Closes#3775
The suggest stop filter is an improved version of the stop filter, which
takes stopwords only into account if the last char of a query is a
whitespace. This allows you to keep stopwords, but to allow suggesting for
"a".
Example: Index document content "a word". You are now able to suggest for
"a" and get back results in the completion suggester, if the suggest stop
filter is used on the query side, but will not get back any results for
"a " as this is identified as a stopword.
The implementation allows to set the `remove_trailing` parameter for a
custom stop filter and thus use the suggest stop filter instead of the
standard stop filter.