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Elasticsearch - Custom stem override with wildcard character
I have implemented light English stemming in Elasticsearch.
I'm able to add a custom stem override so that "Guitarist" => "Guitar", for example, but I would like to add this as a general rule, so that "Guitarist" => "Guitar", "Violinist => Violin" etc.
Can I achieve this without using regex?
elasticsearch stemming
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
add a comment |
I have implemented light English stemming in Elasticsearch.
I'm able to add a custom stem override so that "Guitarist" => "Guitar", for example, but I would like to add this as a general rule, so that "Guitarist" => "Guitar", "Violinist => Violin" etc.
Can I achieve this without using regex?
elasticsearch stemming
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
add a comment |
I have implemented light English stemming in Elasticsearch.
I'm able to add a custom stem override so that "Guitarist" => "Guitar", for example, but I would like to add this as a general rule, so that "Guitarist" => "Guitar", "Violinist => Violin" etc.
Can I achieve this without using regex?
elasticsearch stemming
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
I have implemented light English stemming in Elasticsearch.
I'm able to add a custom stem override so that "Guitarist" => "Guitar", for example, but I would like to add this as a general rule, so that "Guitarist" => "Guitar", "Violinist => Violin" etc.
Can I achieve this without using regex?
elasticsearch stemming
elasticsearch stemming
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
asked Jan 2 at 15:25
Matt SaundersMatt Saunders
8918
8918
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
For anyone looking at a similar problem, it appears that regex is the only solution. Example below specifically for words ending "ist".
{
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"char_filter": [
"ist_filter"
],
"filter": [
"lowercase",
"my_stem"
]
}
},
"filter": {
"my_stem": {
"type": "stemmer",
"language": "light_english"
}
},
"char_filter": {
"ist_filter": {
"type": "pattern_replace",
"pattern": "(.*)ist$",
"replacement": "$1"
}
}
}
}
Exclusions can be added to the pattern e.g. the below would ignore the words "mist" and "twist", but this would only be practical for a (very) limited number of exclusions.
"pattern": "^(?!m|tw)(.*)ist$"
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
For anyone looking at a similar problem, it appears that regex is the only solution. Example below specifically for words ending "ist".
{
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"char_filter": [
"ist_filter"
],
"filter": [
"lowercase",
"my_stem"
]
}
},
"filter": {
"my_stem": {
"type": "stemmer",
"language": "light_english"
}
},
"char_filter": {
"ist_filter": {
"type": "pattern_replace",
"pattern": "(.*)ist$",
"replacement": "$1"
}
}
}
}
Exclusions can be added to the pattern e.g. the below would ignore the words "mist" and "twist", but this would only be practical for a (very) limited number of exclusions.
"pattern": "^(?!m|tw)(.*)ist$"
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
add a comment |
For anyone looking at a similar problem, it appears that regex is the only solution. Example below specifically for words ending "ist".
{
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"char_filter": [
"ist_filter"
],
"filter": [
"lowercase",
"my_stem"
]
}
},
"filter": {
"my_stem": {
"type": "stemmer",
"language": "light_english"
}
},
"char_filter": {
"ist_filter": {
"type": "pattern_replace",
"pattern": "(.*)ist$",
"replacement": "$1"
}
}
}
}
Exclusions can be added to the pattern e.g. the below would ignore the words "mist" and "twist", but this would only be practical for a (very) limited number of exclusions.
"pattern": "^(?!m|tw)(.*)ist$"
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
add a comment |
For anyone looking at a similar problem, it appears that regex is the only solution. Example below specifically for words ending "ist".
{
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"char_filter": [
"ist_filter"
],
"filter": [
"lowercase",
"my_stem"
]
}
},
"filter": {
"my_stem": {
"type": "stemmer",
"language": "light_english"
}
},
"char_filter": {
"ist_filter": {
"type": "pattern_replace",
"pattern": "(.*)ist$",
"replacement": "$1"
}
}
}
}
Exclusions can be added to the pattern e.g. the below would ignore the words "mist" and "twist", but this would only be practical for a (very) limited number of exclusions.
"pattern": "^(?!m|tw)(.*)ist$"
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
For anyone looking at a similar problem, it appears that regex is the only solution. Example below specifically for words ending "ist".
{
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "standard",
"char_filter": [
"ist_filter"
],
"filter": [
"lowercase",
"my_stem"
]
}
},
"filter": {
"my_stem": {
"type": "stemmer",
"language": "light_english"
}
},
"char_filter": {
"ist_filter": {
"type": "pattern_replace",
"pattern": "(.*)ist$",
"replacement": "$1"
}
}
}
}
Exclusions can be added to the pattern e.g. the below would ignore the words "mist" and "twist", but this would only be practical for a (very) limited number of exclusions.
"pattern": "^(?!m|tw)(.*)ist$"
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
answered Jan 2 at 18:03
Matt SaundersMatt Saunders
8918
8918
add a comment |
add a comment |
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