Merge pull request #3466 from mtmail/apple-silicon-parallels

[nominatim.git] / docs / customize / Tokenizers.md

diff --git a/docs/customize/Tokenizers.md b/docs/customize/Tokenizers.md
index 5c766f50a3bf47055c41bcdbd39fd2f87d30e598..6b811a9adb13004560064df2c8796e700e9fdea0 100644 (file)
--- a/docs/customize/Tokenizers.md
+++ b/docs/customize/Tokenizers.md
@@ -19,7 +19,22 @@ they can be configured.
 
 The legacy tokenizer implements the analysis algorithms of older Nominatim
 versions. It uses a special Postgresql module to normalize names and queries.
-This tokenizer is currently the default.
+This tokenizer is automatically installed and used when upgrading an older
+database. It should not be used for new installations anymore.
+
+### Compiling the PostgreSQL module
+
+The tokeinzer needs a special C module for PostgreSQL which is not compiled
+by default. If you need the legacy tokenizer, compile Nominatim as follows:
+
+```
+mkdir build
+cd build
+cmake -DBUILD_MODULE=on
+make
+```
+
+### Enabling the tokenizer
 
 To enable the tokenizer add the following line to your project configuration:
 
@@ -47,6 +62,7 @@ normalization functions are hard-coded.
 The ICU tokenizer uses the [ICU library](http://site.icu-project.org/) to
 normalize names and queries. It also offers configurable decomposition and
 abbreviation handling.
+This tokenizer is currently the default.
 
 To enable the tokenizer add the following line to your project configuration:
 
@@ -86,7 +102,7 @@ Here is an example configuration file:
 ``` yaml
 normalization:
     - ":: lower ()"
-    - "ß > 'ss'" # German szet is unimbigiously equal to double ss
+    - "ß > 'ss'" # German szet is unambiguously equal to double ss
 transliteration:
     - !include /etc/nominatim/icu-rules/extended-unicode-to-asccii.yaml
     - ":: Ascii ()"
@@ -112,7 +128,7 @@ The configuration file contains four sections:
 The normalization and transliteration sections each define a set of
 ICU rules that are applied to the names.
 
-The **normalisation** rules are applied after sanitation. They should remove
+The **normalization** rules are applied after sanitation. They should remove
 any information that is not relevant for search at all. Usual rules to be
 applied here are: lower-casing, removing of special characters, cleanup of
 spaces.
@@ -159,29 +175,67 @@ The following is a list of sanitizers that are shipped with Nominatim.
 
 ##### split-name-list
 
-::: nominatim.tokenizer.sanitizers.split_name_list
-    selection:
+::: nominatim_db.tokenizer.sanitizers.split_name_list
+    options:
         members: False
-    rendering:
         heading_level: 6
+        docstring_section_style: spacy
 
 ##### strip-brace-terms
 
-::: nominatim.tokenizer.sanitizers.strip_brace_terms
-    selection:
+::: nominatim_db.tokenizer.sanitizers.strip_brace_terms
+    options:
         members: False
-    rendering:
         heading_level: 6
+        docstring_section_style: spacy
 
 ##### tag-analyzer-by-language
 
-::: nominatim.tokenizer.sanitizers.tag_analyzer_by_language
-    selection:
+::: nominatim_db.tokenizer.sanitizers.tag_analyzer_by_language
+    options:
         members: False
-    rendering:
         heading_level: 6
+        docstring_section_style: spacy
 
+##### clean-housenumbers
 
+::: nominatim_db.tokenizer.sanitizers.clean_housenumbers
+    options:
+        members: False
+        heading_level: 6
+        docstring_section_style: spacy
+
+##### clean-postcodes
+
+::: nominatim_db.tokenizer.sanitizers.clean_postcodes
+    options:
+        members: False
+        heading_level: 6
+        docstring_section_style: spacy
+
+##### clean-tiger-tags
+
+::: nominatim_db.tokenizer.sanitizers.clean_tiger_tags
+    options:
+        members: False
+        heading_level: 6
+        docstring_section_style: spacy
+
+#### delete-tags
+
+::: nominatim_db.tokenizer.sanitizers.delete_tags
+    options:
+        members: False
+        heading_level: 6
+        docstring_section_style: spacy
+
+#### tag-japanese
+
+::: nominatim_db.tokenizer.sanitizers.tag_japanese
+    options:
+        members: False
+        heading_level: 6
+        docstring_section_style: spacy
 
 #### Token Analysis
 
@@ -199,15 +253,20 @@ by a sanitizer (see for example the
 The token-analysis section contains the list of configured analyzers. Each
 analyzer must have an `id` parameter that uniquely identifies the analyzer.
 The only exception is the default analyzer that is used when no special
-analyzer was selected.
+analyzer was selected. There are analysers with special ids:
+
+ * '@housenumber'. If an analyzer with that name is present, it is used
+   for normalization of house numbers.
+ * '@potcode'. If an analyzer with that name is present, it is used
+   for normalization of postcodes.
 
 Different analyzer implementations may exist. To select the implementation,
-the `analyzer` parameter must be set. Currently there is only one implementation
-`generic` which is described in the following.
+the `analyzer` parameter must be set. The different implementations are
+described in the following.
 
 ##### Generic token analyzer
 
-The generic analyzer is able to create variants from a list of given
+The generic analyzer `generic` is able to create variants from a list of given
 abbreviation and decomposition replacements and introduce spelling variations.
 
 ###### Variants
@@ -324,6 +383,22 @@ the mode by adding:
 
 to the analyser configuration.
 
+##### Housenumber token analyzer
+
+The analyzer `housenumbers` is purpose-made to analyze house numbers. It
+creates variants with optional spaces between numbers and letters. Thus,
+house numbers of the form '3 a', '3A', '3-A' etc. are all considered equivalent.
+
+The analyzer cannot be customized.
+
+##### Postcode token analyzer
+
+The analyzer `postcodes` is pupose-made to analyze postcodes. It supports
+a 'lookup' variant of the token, which produces variants with optional
+spaces. Use together with the clean-postcodes sanitizer.
+
+The analyzer cannot be customized.
+
 ### Reconfiguration
 
 Changing the configuration after the import is currently not possible, although