compromise-speech

$3

Tokenize a word approximately by it's pronounced syllables. We use a custom rule-based alortithm for this.
``js
import plg from 'compromise-speech'
nlp.extend(plg)

let doc = nlp('seventh millenium. white collar')
doc.syllables()
[ [ 'se', 'venth', 'mil', 'le', 'nium' ], [ 'white', 'col', 'lar' ] ]
`

Alternatively, if you'd like to combine syllable information with other properties, you can use .compute('syllables')
`js
let doc = nlp('edmonton oilers')
doc.compute('syllables')
doc.json()
/*[{
"terms": [
{
"normal": "edmonton",
"syllables": ["ed", "mon", "ton"]
},
{
"normal": "oilers",
"syllables": ["oi", "lers"]
}
]
}]
*/
`

$3

Generate an expected pronounciation for the word, as a normalized string.
We use the metaphone implementation, which is a simple rule-based pronounciation system.

`js
import plg from 'compromise-speech'
nlp.extend(plg)

let doc = nlp('seventh millenium. white collar')
doc.soundsLike()
// [ [ 'sefenth', 'milenium' ], [ 'wite', 'kolar' ] ]
`

Alternatively, if you'd like to combine syllable information with other properties, you can use .compute('syllables')
`js
let doc = nlp('edmonton oilers')
doc.compute('soundsLike')
doc.json()
/*[{
"terms": [
{
"normal": "edmonton",
"soundsLike": "etmonton"
},
{
"normal": "oilers",
"soundsLike": "oilers"
}
]
}]
*/
``

MIT