Docs Menu

Language Analyzers

Use language-specific analyzers to create indexes tailored to a particular language. Each language analyzer has built-in stop words and word divisions based on that language's usage patterns.

Atlas Search offers the following language analyzers:

lucene.arabic

lucene.armenian

lucene.basque

lucene.bengali

lucene.brazilian

lucene.bulgarian

lucene.catalan

lucene.chinese

lucene.cjk 1

lucene.czech

lucene.danish

lucene.dutch

lucene.english

lucene.finnish

lucene.french

lucene.galician

lucene.german

lucene.greek

lucene.hindi

lucene.hungarian

lucene.indonesian

lucene.irish

lucene.italian

lucene.japanese

lucene.korean

lucene.kuromoji 2

lucene.latvian

lucene.lithuanian

lucene.morfologik 3

lucene.nori 4

lucene.norwegian

lucene.persian

lucene.polish

lucene.portuguese

lucene.romanian

lucene.russian

lucene.smartcn 5

lucene.sorani

lucene.spanish

lucene.swedish

lucene.thai

lucene.turkish

lucene.ukrainian

1 cjk is a generic Chinese, Japanese, and Korean analyzer

2 kuromoji is a Japanese analyzer

3 morfologik is a Polish analyzer

4 nori is a Korean analyzer

5 smartcn is a Chinese analyzer

Consider a collection named cars with the following documents:

{
"_id": 1,
"subject": {
"en": "It is better to equip our cars to understand the causes of the accident.",
"fr": "Mieux équiper nos voitures pour comprendre les causes d'un accident.",
"he": "עדיף לצייד את המכוניות שלנו כדי להבין את הגורמים לתאונה."
}
}
{
"_id": 2,
"subject": {
"en": "The best time to do this is immediately after you've filled up with fuel",
"fr": "Le meilleur moment pour le faire c'est immédiatement après que vous aurez fait le plein de carburant.",
"he": "הזמן הטוב ביותר לעשות זאת הוא מיד לאחר שמילאת דלק."
}
}

The following example index definition specifies an index on the subject.fr field using the french analyzer:

{
"mappings": {
"fields": {
"subject": {
"fields": {
"fr": {
"analyzer": "lucene.french",
"type": "string"
}
},
"type": "document"
}
}
}
}

The following query searches for the string pour in the subject.fr field:

db.cars.aggregate([
{
$search: {
"text": {
"query": "pour",
"path": "subject.fr"
}
}
},
{
$project: {
"_id": 0,
"subject.fr": 1
}
}
])

The previous query returns no results when using the french analyzer, because pour is a built-in stop word. Using the standard analyzer, the same query would return both documents.

The following query searches for the string carburant in the subject.fr field:

db.cars.aggregate([
{
$search: {
"text": {
"query": "carburant",
"path": "subject.fr"
}
}
},
{
$project: {
"_id": 0,
"subject.fr": 1
}
}
])
{ subject: { fr: "Le meilleur moment pour le faire c'est immédiatement après que vous aurez fait le plein de carburant." } }

Atlas Search returns a document with _id: 1 in the results because the query matched a token that the lucene.french analyzer created for the document. The lucene.french analyzer creates the following tokens for the subject.fr field in document with _id: 1:

meileu

moment

fair

est

imediat

aprè

fait

plein

carburant

You can also create indexes for unsupported languages by creating a custom analyzer with the icuFolding and stopword token filters.

The following example index definition specifies an index on the subject.he field using a custom analyzer called myHebrewAnalyzer to analyze and create tokens for Hebrew text:

{
"analyzer": "lucene.standard",
"mappings": {
"dynamic": false,
"fields": {
"subject": {
"fields": {
"he": {
"analyzer": "myHebrewAnalyzer",
"type": "string"
}
},
"type": "document"
}
}
},
"analyzers": [
{
"charFilters": [],
"name": "myHebrewAnalyzer",
"tokenFilters": [
{
"type": "icuFolding"
},
{
"tokens": [
"אן",
"שלנו",
"זה",
"אל"
],
"type": "stopword"
}
],
"tokenizer": {
"type": "standard"
}
}
]
}

The following query searches for the string המכוניות in the subject.he field:

db.cars.aggregate([
{
$search: {
"text": {
"query": "המכוניות",
"path": "subject.he"
}
}
},
{
$project: {
"_id": 0,
"subject.he": 1
}
}
])
{ subject: { he: 'עדיף לצייד את המכוניות שלנו כדי להבין את הגורמים לתאונה.' } }

Atlas Search returns a document with _id: 1 in the results because the query matched a token that the myHebrewAnalyzer analyzer created for document. The myHebrewAnalyzer analyzer creates the following tokens for the subject.he field in document with _id: 1:

עדיף

לצייד

את

המכוניות

כדי

להבין

את

הגורמים

לתאונה

You can also create an index that uses multiple language analyzers to perform a multilingual search.

The following example index definition specifies an index with dynamic mapping on the sample_mflix.movies collection. The definition applies the lucene.italian language analyzer to index the fullplot field, and uses the multi option to specify lucene.english as an alternate language analyzer. Atlas Search uses the default lucene.english language analyzer for all other fields that it dynamically indexes in the movies collection.

{
"analyzer": "lucene.standard",
"mappings": {
"dynamic": true,
"fields": {
"fullplot": {
"type": "string",
"analyzer": "lucene.italian",
"multi": {
"fullplot_english": {
"type": "string",
"analyzer": "lucene.english",
}
}
}
}
}
}

The following Atlas Search query uses the following compound operator clauses to query the collection:

  • must clause searches for movie plots in English and Italian that contain the term Bella using the text operator

  • mustNot clause excludes movies released between the years 1984 to 2016 using the range operator

  • should clause specifies preference for the Comedy genre using the text operator

[
{
$search: {
"index": "multilingual-tutorial",
"compound": {
"must": [{
"text": {
"query": "Bella",
"path": { "value": "fullplot", "multi": "fullplot_english" }
}
}],
"mustNot": [{
"range": {
"path": "released",
"gt": ISODate("1984-01-01T00:00:00.000Z"),
"lt": ISODate("2016-01-01T00:00:00.000Z")
}
}],
"should": [{
"text": {
"query": "Comedy",
"path": "genres"
}
}]
}
}
}
]
SCORE: 3.909510850906372 _id: "573a1397f29313caabce8bad"
plot: "He is a revenge-obssessed stevedore whose sister was brutally raped an…"
genres:
0: "Drama"
runtime: 137
fullplot: "In Marseilles, a woman commits suicide after she is raped in an alley.…"
released: 1983-05-18T00:00:00.000+00:00
SCORE: 3.4253346920013428 _id: "573a1396f29313caabce5735"
plot: "Giovanna e' una bella ragazza, ma ha qualche problema con gli uomini: …"
genres:
0: "Comedy"
runtime: 100
fullplot: "Giovanna e' una bella ragazza, ma ha qualche problema con gli uomini: …"
released: 1974-11-15T00:00:00.000+00:00
SCORE: 3.363344430923462 _id: "573a1395f29313caabce13cf"
plot: "Gerardo è un attore o almeno cerca di esserlo, ma il pubblico non è de…"
genres:
0: "Comedy"
runtime: 95
fullplot: "Gerardo è un attore o almeno cerca di esserlo, ma il pubblico non è de…"
released: 1960-02-10T00:00:00.000+00:00
SCORE: 1.9502882957458496 _id: "573a1396f29313caabce5299"
plot: "Dr Tremayne is an enigmatic Psychiatrist running a
Futuristic asylum h…"
genres:
0: "Horror"
runtime: 90
fullplot: "Dr Tremayne is an enigmatic Psychiatrist running a Futuristic asylum h…"
released: 1973-10-31T00:00:00.000+00:00