DTMF Analysis for ElasticSearch

The DTMF Analysis plugin add DTMF encode capability into elasticsearch.

This plugin use medcl's elasticsearch-analysis-pinyin plugin (https://github.com/medcl/elasticsearch-analysis-pinyin) as code base.

The plugin includes a dtmf analyzer , two tokenizer: dtmf dtmf_first_letter and a token-filter: dtmf .

1.Create a index for doing some tests

curl -XPUT http://localhost:9200/udiabon/ -d'
{
    "index" : {
        "analysis" : {
            "analyzer" : {
                "dtmf_analyzer" : {
                    "tokenizer" : "my_dtmf",
                    "filter" : ["standard"]
                }
            },
            "tokenizer" : {
                "my_dtmf" : {
                    "type" : "dtmf",
                    "first_letter" : "none",
                    "padding_char" : " "
                }
            }
        }
    }
}'

2.Analyzing a chinese name,such as 刘德华

http://localhost:9200/udiabon/_analyze?text=%e5%88%98%e5%be%b7%e5%8d%8e&analyzer=dtmf_analyzer
{"tokens":[{"token":"548 33 482 ","start_offset":0,"end_offset":3,"type":"word","position":1}]}

3.Thant's all,have fun.

optional config: the parameter first_letter can be set to: prefix , append , only and none ,default value is none

examples: first_letter set toprifix and padding_char is set to "" the analysis result will be:

{"tokens":[{"token":"53454833482","start_offset":0,"end_offset":3,"type":"word","position":1}]}

and if we set first_letter to only ,the result will be:

{"tokens":[{"token":"534","start_offset":0,"end_offset":3,"type":"word","position":1}]}

also first_letter to append

{"tokens":[{"token":"548 33 482 534","start_offset":0,"end_offset":3,"type":"word","position":1}]}