vocabularies
Creates, updates, deletes, gets or lists a vocabularies resource.
Overview
| Name | vocabularies |
| Type | Resource |
| Id | aws.transcribe.vocabularies |
Fields
The following fields are returned by SELECT queries:
- get_vocabulary
- list_vocabularies
| Name | Datatype | Description |
|---|---|---|
download_uri | string | The Amazon S3 location where the custom vocabulary is stored; use this URI to view or download the custom vocabulary. (pattern: <code>(s3://|http(s*)://).+</code>) |
failure_reason | string | If VocabularyState is FAILED, FailureReason contains information about why the custom vocabulary request failed. See also: Common Errors. |
language_code | string | The language code you selected for your custom vocabulary. (af-ZA, ar-AE, ar-SA, am-ET, cy-GB, da-DK, de-CH, de-DE, en-AB, en-AU, en-GB, en-IE, en-IN, en-US, en-WL, es-ES, es-MX, es-US, fa-AF, fa-IR, fr-CA, fr-FR, ga-IE, gd-GB, he-IL, hi-IN, ht-HT, id-ID, it-IT, ja-JP, jv-ID, km-KH, ko-KR, my-MM, ms-MY, nl-NL, pt-BR, pt-PT, ru-RU, ta-IN, te-IN, tr-TR, zh-CN, zh-TW, th-TH, en-ZA, en-NZ, vi-VN, sv-SE, ab-GE, ast-ES, az-AZ, ba-RU, be-BY, bg-BG, bn-IN, bs-BA, ca-ES, ckb-IQ, ckb-IR, cs-CZ, cy-WL, el-GR, et-EE, et-ET, eu-ES, fi-FI, gl-ES, gu-IN, ha-NG, hr-HR, hu-HU, hy-AM, is-IS, ka-GE, kab-DZ, kk-KZ, kn-IN, ky-KG, lg-IN, lt-LT, lv-LV, mhr-RU, mi-NZ, mk-MK, ml-IN, mn-MN, mr-IN, mt-MT, no-NO, ne-NP, or-IN, pa-IN, pl-PL, ps-AF, ro-RO, rw-RW, si-LK, sk-SK, sl-SI, so-SO, sq-AL, sr-RS, su-ID, sw-BI, sw-KE, sw-RW, sw-TZ, sw-UG, tl-PH, tt-RU, ug-CN, uk-UA, uz-UZ, wo-SN, zh-HK, zu-ZA) |
last_modified_time | string (date-time) | The date and time the specified custom vocabulary was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022. |
vocabulary_name | string | The name of the custom vocabulary you requested information about. (pattern: <code>^[0-9a-zA-Z._-]+</code>) |
vocabulary_state | string | The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request. (PENDING, READY, FAILED) |
| Name | Datatype | Description |
|---|---|---|
next_token | string | If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results. (pattern: <code>.+</code>) |
status | string | Lists all custom vocabularies that have the status specified in your request. Vocabularies are ordered by creation date, with the newest vocabulary first. (PENDING, READY, FAILED) |
vocabularies | array | Provides information about the custom vocabularies that match the criteria specified in your request. |
Methods
The following methods are available for this resource:
| Name | Accessible by | Required Params | Optional Params | Description |
|---|---|---|---|---|
get_vocabulary | select | region | Provides information about the specified custom vocabulary. To view the status of the specified custom vocabulary, check the VocabularyState field. If the status is READY, your custom vocabulary is available to use. If the status is FAILED, FailureReason provides details on why your custom vocabulary failed. To get a list of your custom vocabularies, use the operation. | |
list_vocabularies | select | region | Provides a list of custom vocabularies that match the specified criteria. If no criteria are specified, all custom vocabularies are returned. To get detailed information about a specific custom vocabulary, use the operation. | |
create_vocabulary | insert | region, VocabularyName, LanguageCode | Creates a new custom vocabulary. When creating a new custom vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an Amazon S3 bucket and include the URI in your request. Or you can include a list of terms directly in your request using the Phrases flag. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language. For more information, see Custom vocabularies. | |
update_vocabulary | update | region, VocabularyName, LanguageCode | Updates an existing custom vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary. | |
delete_vocabulary | delete | region | Deletes a custom vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete using VocabularyName. Custom vocabulary names are case sensitive. |
Parameters
Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.
| Name | Datatype | Description |
|---|---|---|
region | string | AWS region (default: us-east-1) |
SELECT examples
- get_vocabulary
- list_vocabularies
Provides information about the specified custom vocabulary. To view the status of the specified custom vocabulary, check the VocabularyState field. If the status is READY, your custom vocabulary is available to use. If the status is FAILED, FailureReason provides details on why your custom vocabulary failed. To get a list of your custom vocabularies, use the operation.
SELECT
download_uri,
failure_reason,
language_code,
last_modified_time,
vocabulary_name,
vocabulary_state
FROM aws.transcribe.vocabularies
WHERE region = '{{ region }}' -- required
;
Provides a list of custom vocabularies that match the specified criteria. If no criteria are specified, all custom vocabularies are returned. To get detailed information about a specific custom vocabulary, use the operation.
SELECT
next_token,
status,
vocabularies
FROM aws.transcribe.vocabularies
WHERE region = '{{ region }}' -- required
;
INSERT examples
- create_vocabulary
- Manifest
Creates a new custom vocabulary. When creating a new custom vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an Amazon S3 bucket and include the URI in your request. Or you can include a list of terms directly in your request using the Phrases flag. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language. For more information, see Custom vocabularies.
INSERT INTO aws.transcribe.vocabularies (
VocabularyName,
LanguageCode,
Phrases,
VocabularyFileUri,
Tags,
DataAccessRoleArn,
region
)
SELECT
'{{ VocabularyName }}' /* required */,
'{{ LanguageCode }}' /* required */,
'{{ Phrases }}',
'{{ VocabularyFileUri }}',
'{{ Tags }}',
'{{ DataAccessRoleArn }}',
'{{ region }}'
RETURNING
failure_reason,
language_code,
last_modified_time,
vocabulary_name,
vocabulary_state
;
# Description fields are for documentation purposes
- name: vocabularies
props:
- name: region
value: "{{ region }}"
description: Required parameter for the vocabularies resource.
- name: VocabularyName
value: "{{ VocabularyName }}"
description: |
A unique name, chosen by you, for your new custom vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary with the same name as an existing custom vocabulary, you get a ConflictException error.
- name: LanguageCode
value: "{{ LanguageCode }}"
description: |
The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language. A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (en-US), you can only apply this custom vocabulary to files that contain English audio. For a list of supported languages and their associated language codes, refer to the Supported languages table.
valid_values: ['af-ZA', 'ar-AE', 'ar-SA', 'am-ET', 'cy-GB', 'da-DK', 'de-CH', 'de-DE', 'en-AB', 'en-AU', 'en-GB', 'en-IE', 'en-IN', 'en-US', 'en-WL', 'es-ES', 'es-MX', 'es-US', 'fa-AF', 'fa-IR', 'fr-CA', 'fr-FR', 'ga-IE', 'gd-GB', 'he-IL', 'hi-IN', 'ht-HT', 'id-ID', 'it-IT', 'ja-JP', 'jv-ID', 'km-KH', 'ko-KR', 'my-MM', 'ms-MY', 'nl-NL', 'pt-BR', 'pt-PT', 'ru-RU', 'ta-IN', 'te-IN', 'tr-TR', 'zh-CN', 'zh-TW', 'th-TH', 'en-ZA', 'en-NZ', 'vi-VN', 'sv-SE', 'ab-GE', 'ast-ES', 'az-AZ', 'ba-RU', 'be-BY', 'bg-BG', 'bn-IN', 'bs-BA', 'ca-ES', 'ckb-IQ', 'ckb-IR', 'cs-CZ', 'cy-WL', 'el-GR', 'et-EE', 'et-ET', 'eu-ES', 'fi-FI', 'gl-ES', 'gu-IN', 'ha-NG', 'hr-HR', 'hu-HU', 'hy-AM', 'is-IS', 'ka-GE', 'kab-DZ', 'kk-KZ', 'kn-IN', 'ky-KG', 'lg-IN', 'lt-LT', 'lv-LV', 'mhr-RU', 'mi-NZ', 'mk-MK', 'ml-IN', 'mn-MN', 'mr-IN', 'mt-MT', 'no-NO', 'ne-NP', 'or-IN', 'pa-IN', 'pl-PL', 'ps-AF', 'ro-RO', 'rw-RW', 'si-LK', 'sk-SK', 'sl-SI', 'so-SO', 'sq-AL', 'sr-RS', 'su-ID', 'sw-BI', 'sw-KE', 'sw-RW', 'sw-TZ', 'sw-UG', 'tl-PH', 'tt-RU', 'ug-CN', 'uk-UA', 'uz-UZ', 'wo-SN', 'zh-HK', 'zu-ZA']
- name: Phrases
value:
- "{{ Phrases }}"
description: |
Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFileUri parameter. Note that if you include Phrases in your request, you cannot use VocabularyFileUri; you must choose one or the other. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
- name: VocabularyFileUri
value: "{{ VocabularyFileUri }}"
description: |
The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt Note that if you include VocabularyFileUri in your request, you cannot use the Phrases flag; you must choose one or the other.
- name: Tags
description: |
Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
value:
- Key: "{{ Key }}"
Value: "{{ Value }}"
- name: DataAccessRoleArn
value: "{{ DataAccessRoleArn }}"
description: |
The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
UPDATE examples
- update_vocabulary
Updates an existing custom vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
UPDATE aws.transcribe.vocabularies
SET
VocabularyName = '{{ VocabularyName }}',
LanguageCode = '{{ LanguageCode }}',
Phrases = '{{ Phrases }}',
VocabularyFileUri = '{{ VocabularyFileUri }}',
DataAccessRoleArn = '{{ DataAccessRoleArn }}'
WHERE
region = '{{ region }}' --required
AND VocabularyName = '{{ VocabularyName }}' --required
AND LanguageCode = '{{ LanguageCode }}' --required
RETURNING
language_code,
last_modified_time,
vocabulary_name,
vocabulary_state;
DELETE examples
- delete_vocabulary
Deletes a custom vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete using VocabularyName. Custom vocabulary names are case sensitive.
DELETE FROM aws.transcribe.vocabularies
WHERE region = '{{ region }}' --required
;