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Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/conversational-language-understanding/concepts/data-formats.md
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@@ -8,7 +8,7 @@ manager: nitinme
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ms.service: cognitive-services
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ms.subservice: language-service
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ms.topic: conceptual
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ms.date: 05/13/2022
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ms.date: 10/14/2022
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ms.author: aahi
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ms.custom: language-service-custom-clu
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---
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|`synonyms`|`[]`|Array containing all the synonyms|synonym|
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|`language`|`{LANGUAGE-CODE}`| A string specifying the language code for the utterances, synonyms, and regular expressions used in your project. If your project is a multilingual project, choose the [language code](../language-support.md) of the majority of the utterances. |`en-us`|
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|`intents`|`[]`| Array containing all the intents you have in the project. These are the intents that will be classified from your utterances.|`[]`|
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|`entities`|`[]`| Array containing all the entities in your project. These are the entities that will be extracted from your utterances. Every entity can have additional oiptional components defined with them: list, prebuilts, or regex. |`[]`|
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|`entities`|`[]`| Array containing all the entities in your project. These are the entities that will be extracted from your utterances. Every entity can have additional optional components defined with them: list, prebuilt, or regex. |`[]`|
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|`dataset`|`{DATASET}`| The test set to which this utterance will go to when split before training. Learn more about data splitting [here](../how-to/train-model.md#data-splitting) . Possible values for this field are `Train` and `Test`. |`Train`|
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|`category`|``| The type of entity associated with the span of text specified. |`Entity1`|
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|`offset`|``| The inclusive character position of the start of the entity. |`5`|
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|`length`|``| The character length of the entity. |`5`|
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|`listKey`|``| A normalized value for the list of synonyms to map back to in prediction. |`Microsoft`|
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|`values`|`{VALUES-FOR-LIST}`| A list of comma separated strings that will be exact matched for extraction and map to the list key. |`"msft", "microsoft", "MS"`|
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|`values`|`{VALUES-FOR-LIST}`| A list of comma separated strings that will be matched exactly for extraction and map to the list key. |`"msft", "microsoft", "MS"`|
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|`regexKey`|`{REGEX-PATTERN}`| A regular expression. |`ProductPattern1`|
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|`regexPattern`|`{REGEX-PATTERN}`| A regular expression. |`^pre`|
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|`prebuilts`|`{PREBUILT-COMPONENTS}`| The prebuilt components that can extract common types. You can find the list of prebuilts you can add [here](../prebuilt-component-reference.md). |`Quantity.Number`|
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/whats-new.md
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*[Regular expressions](./conversational-language-understanding/concepts/entity-components.md#regex-component) in conversational language understanding and [required components](./conversational-language-understanding/concepts/entity-components.md#required-components), offering an additional ability to influence entity predictions.
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*[Entity resolution](./named-entity-recognition/concepts/entity-resolutions.md) in named entity recognition
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* New region support for:
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*[Conversational language understanding](./conversational-language-understanding/service-limits.md#regional-availability.md)
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