Repository of synonyms, protected words, stop words, localizations, and other vocabularies to improve the precision, recall, and usability of search results.
Each locale's synonyms are in a separate YAML file (e.g., es.yml, en.yml). Here is a sample entry:
inmunización, vacuna, vacunación:
:notes: Approved (synonyms) and (stemming). AFF 11/12/14
:status: Approved
:analyzed: inmunizacion, vacun, vacunacionThe entry listing is a comma-separated list of natural language terms, probably lemmas.
The notes field can be long and multi-line, but it still needs to be valid YAML. Notes include information on the type of synonym:
- Abbreviations
- Acronyms
- Clipped words
- Gerunds
- Irregular plurals
- Language variants
- Misspellings
- Numbers
- Spelling variants
- Stemming
- Synonyms
- Tickers (stock ticker symbols)
- Verbs
The status is either Approved, Rejected, or Candidate.
The analyzed field is a comma-separated list of the entry terms after they have been run through an analyzer and de-duped. The analysis chain comprises 6 filters:
- standard
- asciifolding
- lowercase
- es_stop_filter
- es_protected_filter
- es_stem_filter
In the example entry above, vacuna becomes vacun because of the Spanish stemmer, and vacunación and inmunización become vacunacion and inmunizacion, respectively, because of ASCII folding.
Generate the text file of approved synonyms for each locale, like this:
cd synonyms
./lib/yaml_to_solr.rb es.yml > es.txt
./lib/yaml_to_solr.rb en.yml > en.txt
You can then reference these files when you define your per-locale synonym filters.
Each locale's protected words are in a separate YAML file (e.g., es.yml, en.yml). The keyword marker token filter keeps these words from getting treated by the stemmer.
Here is a sample entry:
irs:
:notes: Stems to ir in minimal_english
:status: ApprovedThe entry listing is the token after ASCII folding and lowercasing.
Generate the text file of approved protected words for each locale, like this:
cd protected_words
./lib/yaml_to_solr.rb es.yml > es.txt
./lib/yaml_to_solr.rb en.yml > en.txt
You can then reference these files when you define your per-locale keyword marker filters.
Each locale's stop words are in a separate YAML file (e.g., es.yml, en.yml). Here is a sample entry:
they:
:notes:
:status: ApprovedThe entry listing is the token after ASCII folding and lowercasing.
Generate the text file of approved stop words for each locale, like this:
cd stop_words
./lib/yaml_to_solr.rb es.yml > es.txt
./lib/yaml_to_solr.rb en.yml > en.txt
You can then reference these files when you define your per-locale stop word filters.
The Elasticsearch index mapping used to transform entries into analyzed fields is here:
{
"settings": {
"index": {
"analysis": {
"char_filter": {
"ignore_chars": {
"type": "mapping",
"mappings": [
"'=>",
"’=>",
"`=>"
]
}
},
"filter": {
"es_protected_filter": {
"type": "keyword_marker",
"keywords": [
"ronaldo"
]
},
"es_stem_filter": {
"type": "stemmer",
"name": "light_spanish"
},
"es_stop_filter": {
"type": "stop",
"stopwords": [
"a",
"al",
"ante",
"aquel",
"aquello",
"bajo",
"cabe",
"cada",
"como",
"con",
"conmigo",
"consigo",
"contigo",
"contra",
"cual",
"cuando",
"de",
"del",
"desde",
"despues",
"donde",
"durante",
"e",
"el",
"en",
"entonces",
"entre",
"es",
"esta",
"esto",
"fin",
"fue",
"ha",
"hacia",
"has",
"hasta",
"la",
"las",
"le",
"les",
"los",
"mas",
"mediante",
"menos",
"mi",
"ni",
"o",
"para",
"pero",
"por",
"que",
"quien",
"salvo",
"segun",
"ser",
"si",
"sin",
"so",
"sobre",
"solamente",
"solo",
"somos",
"son",
"soy",
"su",
"suya",
"suyo",
"suyos",
"tal",
"tambien",
"tras",
"u",
"un",
"una",
"unas",
"unos",
"via",
"y"
]
},
"en_protected_filter": {
"type": "keyword_marker",
"keywords": [
"irs"
]
},
"en_stem_filter": {
"type": "stemmer",
"name": "minimal_english"
},
"en_stop_filter": {
"type": "stop",
"stopwords": [
"a",
"an",
"and",
"are",
"as",
"at",
"be",
"but",
"by",
"for",
"if",
"in",
"into",
"is",
"no",
"not",
"of",
"on",
"or",
"s",
"such",
"t",
"that",
"the",
"their",
"then",
"there",
"these",
"they",
"this",
"to",
"was",
"with"
]
}
},
"analyzer": {
"en_analyzer": {
"type": "custom",
"char_filter": [
"ignore_chars"
],
"filter": [
"standard",
"asciifolding",
"lowercase",
"en_stop_filter",
"en_protected_filter",
"en_stem_filter"
],
"tokenizer": "standard"
},
"es_analyzer": {
"type": "custom",
"char_filter": [
"ignore_chars"
],
"filter": [
"standard",
"asciifolding",
"lowercase",
"es_stop_filter",
"es_protected_filter",
"es_stem_filter"
],
"tokenizer": "standard"
}
}
}
}
}
}The DigitalGov Search application uses these files to provide localized translations of text strings based on the locale set for the user.