Creating a custom vocabulary using a list

This example uses the create-vocabulary command with a list-formatted custom vocabulary file. For more information, see CreateVocabulary.

aws transcribe create-vocabulary \ 
--vocabulary-name my-first-vocabulary \ 
--language-code en-US \ 
--phrases {CLI,Eva-Maria,ABCs}

Here's another example using the create-vocabulary command, and a request body that creates your custom vocabulary.

aws transcribe create-vocabulary \
--cli-input-json file://filepath/my-first-vocab-list.json

The file my-first-vocab-list.json contains the following request body.

{
  "VocabularyName": "my-first-vocabulary",
  "LanguageCode": "en-US",
  "Phrases": [
        "CLI","Eva-Maria","ABCs"
  ]
}

Once VocabularyState changes from PENDING to READY, your custom vocabulary is ready to use with a transcription. To view the current status of your custom vocabulary, run:

aws transcribe get-vocabulary \
--vocabulary-name my-first-vocabulary

This example uses the Amazon SDK for Python (Boto3) to create a custom vocabulary from a list using the create_vocabulary method. For more information, see CreateVocabulary.

For additional examples using the Amazon SDKs, including feature-specific, scenario, and cross-service examples, refer to the Code examples for Amazon Transcribe using Amazon SDKs chapter.

from __future__ import print_function
import time
import boto3
transcribe = boto3.client('transcribe', 'us-west-2')
vocab_name = "my-first-vocabulary"
response = transcribe.create_vocabulary(
    LanguageCode = 'en-US',
    VocabularyName = vocab_name,
    Phrases = [
        'CLI','Eva-Maria','ABCs'
    ]
)

while True:
    status = transcribe.get_vocabulary(VocabularyName = vocab_name)
    if status['VocabularyState'] in ['READY', 'FAILED']:
        break
    print("Not ready yet...")
    time.sleep(5)
print(status)